As schools publicly modernize in response to societal changes, additional teaching and learning methods are developed, observed, and used since learners have different learning styles that make it easier for them to grasp and retain the material. During the COVID-19 pandemic, teachers require different media to keep the classroom involved while presenting the lesson materials online, one of which is video tutorials. The purpose of this study was to analyze the extent of contextual effects of video tutorials used in general (...) chemistry, determine the relationship between video tutorial effectiveness and the respondents' academic performance, and analyze the significant difference between the four indicators of contextual effects of video tutorials and the respondents' profile. A descriptive-correlational quantitative research design was used in this study. The participants in this study were 144 Grade 12 STEM students from a private school in Sultan Kudarat, Philippines, who took their general chemistry course during the pandemic. The respondents were given a survey questionnaire created with Google Forms. The students agreed with all the assertions and rated them as effective in terms of their perceptions of general chemistry, implying that video tutorials are useful in teaching the subject. With p-values of .023, .046, and .010, respectively, the findings revealed a significant relationship between the overall mean of students' perceptions of the subject of General Chemistry, the concept and application of chemical knowledge and understanding, and their influence on students' academic performance. In terms of their perception, ideas, and application of chemical knowledge and comprehension, the results demonstrated that there is no statistically significant difference between the general mean of male and female students' responses. This basically means that by using video lectures, STEM students of all genders appreciate and understand General Chemistry as a subject. -/- . (shrink)

The concept of fields available in physics will be considered for application to unravel the mysteries of form, structure and function of human consciousness and mind. The sameness of functions of human consciousness and mind in language acquisition and communication and also acquiring knowledge of various kinds and its will be discussed. In the light of this the limitations of concepts of pure physics and modern physics probes will be discussed. -/- The information and ideas available in the (...) Upanishads in the form of Brahmajnaana will be applied to understand the physical nature of human consciousness and mind and their functions. This information and translation into modern and cognitive scientific terms would be correlated with brainwaves concept of modern physiology. The physiochemical, physical and chemical natures of experiences, purport, meanings, ideas, thoughts and expressions will be presented based on Upanishadic insight thus acquired. The advantage of this alternative probe, method and model to understand the functions of human consciousness and mind will be demonstrated. -/- This model of human consciousness and mental functions is also correlated to brain wave EEG frequency changes. -/- . (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The time evolution (...) of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

Many social situations require a mental model of the knowledge, beliefs, goals, and intentions of others: a Theory of Mind (ToM). If a person can reason about other people’s beliefs about his own beliefs or intentions, he is demonstrating second-order ToM reasoning. A standard task to test second-order ToM reasoning is the second-order false belief task. A different approach to investigating ToM reasoning is through its application in a strategic game. Another task that is believed to involve the (...) application of second-order ToM is the comprehension of sentences that the hearer can only understand by considering the speaker’s alternatives. In this study we tested 40 children between 8 and 10 years old and 27 adult controls on (adaptations of) the three tasks mentioned above: the false belief task, a strategic game, and a sentence comprehension task. The results show interesting differences between adults and children, between the three tasks, and between this study and previous research. (shrink)

The Relationship Between Language, Mathematics, Information, Knowledge, and New Discoveries in Understanding the Nature of Consciousness -/- Introduction -/- The nature of consciousness has long been a subject of philosophical and scientific inquiry. As human intelligence evolved, the invention of language, mathematics, and information systems became fundamental tools in shaping how we perceive and understand reality. These intellectual advancements not only reflect consciousness but also influence its development. By examining the interplay between language, mathematics, information, knowledge, and (...) new discoveries, we can gain deeper insight into how consciousness emerges, evolves, and expands. -/- Language: The Foundation of Conscious Thought -/- Language is the primary medium through which consciousness expresses itself. It allows individuals to articulate thoughts, share experiences, and construct complex ideas. Without language, higher-order thinking and self-reflection would be severely limited. -/- 1. Language and Self-Awareness – Internal dialogue, or the “voice in our head,” is a critical component of consciousness. It enables introspection, planning, and the ability to reflect on past experiences. -/- 2. Language and Social Consciousness – Through shared language, individuals contribute to collective intelligence. Cultural knowledge, traditions, and ideologies are preserved and transmitted across generations. -/- 3. Language and Abstract Thinking – Words enable humans to discuss non-physical concepts such as justice, morality, and the nature of existence, expanding the boundaries of conscious thought. -/- As language evolves, so does consciousness, leading to new ways of perceiving and interpreting reality. -/- Mathematics: The Language of Patterns and Conscious Awareness -/- Mathematics is often described as a universal language that reveals the underlying order of the universe. It provides structure to human cognition and enhances our ability to predict, measure, and manipulate reality. -/- 1. Mathematics and Logical Thought – Mathematical reasoning mirrors the logical structures of conscious thought. It allows for problem-solving, abstraction, and deductive reasoning. -/- 2. Mathematics and Scientific Discovery – From physics to neuroscience, mathematical models describe the fundamental principles governing existence, furthering our understanding of consciousness itself. -/- 3. Mathematics and Artificial Intelligence – The development of AI and machine learning relies on mathematical principles, raising questions about whether artificial systems can achieve a form of consciousness. -/- If consciousness operates under universal laws, mathematics may be the key to deciphering its principles. -/- Information and Knowledge: The Evolution of Consciousness -/- Information is the raw material from which knowledge is constructed. The accumulation, processing, and application of information drive the expansion of consciousness. -/- 1. Memory and Learning – The ability to store and recall information enhances cognitive abilities, shaping an individual’s awareness of the world. -/- 2. Collective Intelligence – The sharing of information across societies leads to cultural evolution, technological advancements, and the refinement of knowledge. -/- 3. External Storage of Consciousness – Books, digital databases, and AI systems act as extensions of human consciousness, preserving and expanding knowledge beyond biological limitations. -/- The more information consciousness can process, the more it expands its awareness and potential for discovery. -/- New Discoveries: The Feedback Loop of Expanding Consciousness -/- Scientific and philosophical discoveries continuously reshape how consciousness understands itself and the universe. Each breakthrough: -/- 1. Expands Perception – Tools like microscopes and telescopes extend human awareness beyond natural sensory limitations. -/- 2. Challenges Established Beliefs – Paradigm shifts force consciousness to adapt to new realities, redefining truth and understanding. -/- 3. Integrates Technology and Consciousness – Advancements in neuroscience, quantum mechanics, and artificial intelligence suggest that consciousness may be an emergent phenomenon shaped by computational and environmental factors. -/- The cycle of discovery feeds back into language, mathematics, and knowledge, leading to new levels of understanding and further expanding consciousness. -/- Conclusion: Consciousness as a Self-Perpetuating System -/- The relationship between language, mathematics, information, knowledge, and discovery forms a self-reinforcing loop that drives the evolution of consciousness. Each component influences and strengthens the others, creating a dynamic system of intellectual and cognitive growth. -/- Language provides structure for thought and communication. -/- Mathematics reveals underlying patterns of reality and enhances logical reasoning. -/- Information and knowledge serve as the building blocks of learning and awareness. -/- New discoveries expand the limits of consciousness, redefining human potential. -/- If consciousness operates under natural laws, this interconnected system may represent the fundamental process by which awareness evolves. The more humanity advances in these areas, the more profound our understanding of consciousness—and reality itself—becomes. -/- . (shrink)

Risk assessment is one of the prerequisites for understanding its causes and possible consequences. We base our risk assessment on the principles described in the European standard EN 31000 - Risk Management Process. This standard comprehensively describes the continuous activities that are necessary in managing risks and minimizing their possible adverse effects on the operation of the system under investigation. In this activity, it is necessary to first identify the existing risks, then analyze and evaluate the identified risks. In (...) the analysis of existing risks, it is possible to use both qualitative and quantitative analytical methods, or combine them. We use qualitative methods in cases where we do not have a sufficient amount of input information, these are more subjective. Quantitative methods are more accurate, but also more demanding on input information and time. The choice of a suitable analytical method is a basic prerequisite for knowledge of risks and their evaluation. The values of individual risks obtained in this way are the basis for determining the measures that are ecessary to minimize them, i.e., to adjust them to an acceptable level. The draft measures are always based on the value of the individual components used to calculate the risk number, as well as on the value of the asset , which needs to be protected. Appropriately chosen analytical methods are one of the basic prerequisites for the consistent application of the principles of risk management, as a continuous process aimed at increasing the overall security of the system under study. In the article, the author describes the procedures used in risk assessment, as well as specific analytical methods that can be used in working with risks. The aim of identifying risk factors is to create a list of events that could cause undesirable disruption to ongoing processes. At this stage, we define all the risks that will be subsequently analyzed and evaluated. When identifying, we can use methods such as, e.g. SWOT, PHA (Preliminary Hazard Analysis) or CA (Checklist Analysis). Methods suitable for determining the causes and creating scenarios for the course of a risk event are ETA (Event Tree Analysis) or FTA (Fault Tree Analysis). The basic analysis of the system can be performed using the FMEA method (Failure Mode and Effect Analysis), which provides a numerical risk assessment. By comparison with the numerical value of the risk that we are willing to accept, we obtain 2 groups of risks. Acceptable, which will be given regular attention and unacceptable, which we will focus on in risk management and we will try to minimize its negative affect on the functioning of the system under study. (shrink)

-/- The Present Defects of Humanity and the World: A Call for Balance and Understanding -/- Humanity stands at a critical juncture in history. While we have made remarkable advances in science, technology, and society, we are also facing unprecedented challenges that threaten both our survival and the well-being of the planet. These challenges are not merely the result of external forces but are deeply rooted in the defects of our systems, behaviors, and understanding of the natural world. (...) To navigate these challenges, we must address the underlying defects that persist in our world today. These defects, ranging from environmental degradation to social inequality, are manifestations of a larger imbalance in the way humanity interacts with the world and with itself. -/- 1. Disregard for the Natural Environment -/- One of the most glaring defects of humanity today is our continued disregard for the natural environment. Industrialization, urbanization, and the pursuit of short-term profits have led to the exploitation of natural resources at an unsustainable rate. Forests are being cleared, oceans are polluted, and species are being driven to extinction. The Earth’s ecosystems, which provide the foundation for life, are under threat, and the consequences of this damage are becoming more apparent each day. Climate change, rising sea levels, and extreme weather events are just a few of the symptoms of the imbalance humanity has created. This environmental degradation is not just a result of ignorance; it is a product of a deeper disconnection from the natural world and an inability to recognize the interconnectedness of all life. -/- To rectify this defect, humanity must recognize that the natural environment is not a limitless resource to be exploited, but a delicate system that requires respect and care. Sustainable practices must be prioritized, and a shift toward renewable energy, conservation, and responsible consumption is imperative. Furthermore, a new understanding of our place in the natural world must be cultivated, one that acknowledges the interdependence of all living things. -/- 2. Inequality and Social Injustice -/- Another significant defect plaguing humanity is the persistent inequality and social injustice that exists within and between societies. Across the globe, millions of people suffer from poverty, lack of access to education, inadequate healthcare, and social discrimination. Despite progress in certain areas, the gap between the rich and the poor continues to widen, and the systems in place often perpetuate this divide rather than address it. Economic, racial, gender, and social inequalities are deeply entrenched in many societies, creating barriers that prevent individuals from reaching their full potential. -/- This inequality is not only a moral failing but also a practical one. When large portions of the population are marginalized, society as a whole suffers. Unequal access to resources and opportunities stifles innovation, fosters resentment, and creates social unrest. To address this defect, a more equitable distribution of resources and opportunities must be prioritized. Education, healthcare, and economic opportunities should be made accessible to all, ensuring that every individual has the chance to contribute to the collective well-being of society. -/- 3. Ignorance and Misinformation -/- The rapid spread of misinformation and the general lack of critical thinking have become pervasive defects in modern society. In the age of information, people are exposed to vast amounts of data, yet many lack the tools to discern truth from falsehood. Misinformation, fueled by social media, political agendas, and sensationalism, distorts public perception and impedes rational decision-making. This creates confusion, division, and a general distrust in institutions and facts. -/- This ignorance is not limited to the consumption of information but also extends to an overall lack of understanding about the natural laws that govern life and society. The universal law of balance, for example, is often overlooked, leading to decisions that create imbalances in both individual lives and societal structures. To address this defect, education must be restructured to emphasize critical thinking, media literacy, and an understanding of the interconnectedness of all things. By fostering a society that values knowledge and wisdom, we can create an informed citizenry capable of making better decisions for the future. -/- 4. Disconnection from the Universal Laws -/- A deeper, more fundamental defect in humanity is our disconnection from the universal laws that govern the world. These laws, such as the law of balance, cause and effect, and interconnectedness, are the principles that regulate both the natural and social worlds. However, many individuals and societies are unaware of these laws or fail to understand their importance. As a result, decisions are made that violate these natural principles, leading to imbalances in both personal and collective realities. -/- For example, the law of balance suggests that every action has an equal and opposite reaction. When humanity acts in ways that harm the environment or exploit others, there will inevitably be consequences, such as climate change or social unrest. By understanding and respecting these natural laws, humanity can create a more harmonious relationship with the world. Education systems must be restructured to emphasize the importance of natural laws, as well as their practical applications in daily life. -/- 5. Uncontrolled Growth -/- The final major defect of humanity is the unchecked pursuit of growth, both economically and in terms of population. Economic systems around the world are based on the assumption that growth is perpetual, yet this is fundamentally unsustainable. As resources are depleted and ecosystems collapse, the notion of infinite growth becomes increasingly problematic. Similarly, population growth continues to strain the planet’s resources, creating pressure on food, water, and energy supplies. -/- This defect is compounded by a failure to address the long-term consequences of overpopulation and overconsumption. To mitigate this issue, a sustainable approach to growth must be adopted. This includes regulating economic growth to ensure it aligns with the planet’s ecological limits and encouraging sustainable practices in all areas of life. Population control measures, alongside better resource management, are essential for maintaining balance. -/- Conclusion: The Path to a Balanced Future -/- The defects of humanity and the world are deeply interconnected and rooted in our collective choices. However, these defects are not insurmountable. By recognizing the need for balance—whether in our relationship with the environment, with each other, or with the natural laws that govern life—we can begin to correct these imbalances and create a more sustainable, just, and harmonious world. This requires a fundamental shift in our thinking and our approach to education, governance, and society at large. By fostering a deeper understanding of the natural laws and integrating them into our systems, we can lay the foundation for a brighter future for humanity and the planet. -/- . 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Although several accounts of scientific understanding exist, the concept of understanding in relation to technology remains underexplored. This paper addresses this gap by proposing a philosophical account of technological understanding—the type of understanding that is required for and reflected by successfully designing and using technological artefacts. We develop this notion by building on the concept of scientific understanding. Drawing on parallels between science and technology, and specifically between scientific theories and technological artefacts, we extend the (...) idea of scientific understanding into the realm of technology. We argue that, just as scientific understanding involves the ability to explain a phenomenon using a theory, technological understanding involves the ability to use a technological artefact to realise a practical aim. Technological understanding can thus be considered a specific application of knowledge: it encompasses the cognitive skill of recognising how a practical aim can be achieved by using a technological artefact. In a context of design, this general notion of technological understanding is specified as the ability to design an artefact that, by producing a phenomenon through its physical structure, achieves the intended aim. We illustrate our concept of technological understanding through two running examples: magnetic resonance imaging (MRI) and superconducting quantum computers. Our account highlights the epistemic dimension of engaging with technology and, by allowing for context-dependent specifications, provides guidance for testing and improving technological understanding in specific contexts. (shrink)

There is a fundamental incompatibility between a developmental orientation to education and instrumental and scientistic conceptions of rationality that dominate educational inquiry. An expanded conception of rationality is provided in the critical theory of Jurgen Habermas. This study draws on Habermas' work to present a theory of inquiry that is consistent with a developmental perspective. I distinguish three interdependent realms of experience--the objective world of nature, the intersubjective world of society and the subjective world of each individual. Then, I argue (...) that current conceptions of rationality tend to reduce personal and interpersonal experience to the objective material realm. Under prevailing conceptions, human action is rational when it pursues valued ends guided by knowledge about the world and effective means-ends relationships. Both theories of knowledge and theories of value in these conceptions are inadequate for a developmental orientation. -/- First, knowledge is defined as justified true belief. Theories of truth are based on the correspondence of beliefs with an external world; theories of justification are based on perceptual certainty. These conceptions objectify experience by making experience an object of natural science and instrumental action separate from and external to the person. Such conceptions reduce experience to the objective material dimension and cannot adequately account for the personal and interpersonal dimensions of human experience and understanding. -/- Second, because value claims are not capable of justification by these standards, they are considered ultimately irrational and treated as subjectively held empirical properties of individuals. The only standard of rationality is efficiency and economy in the selection of means. Ethics is reduced to empirical science. But the removal of practical questions from public discourse divests action of ethical significance. With its strict separation of descriptive and normative domains, empirical-analytic inquiry can neither acknowledge its standard of instrumental efficiency nor reach into the practical arena to guide the selection of values and ends that orient and gude human action. Practical questions that cannot be framed in terms of technical problems cannot be taken seriously. -/- Whereas these conceptions of rationality are generally derived from theories of experienced based on individual consciousness, Habermas looks to language for a more adequate account of the intersubjective nature of experience. This account provides an expanded conception of rationality with theories for justifying beliefs and actions that incorporate the personal and interpersonal dimensions of experience so critical to a developmental perspective. Through an analysis of the universal pragmatic structure of language directed to the resolution of problematic truth claims and moral claims, this study presents a consensus theory of truth (for a more adequate theory of knowledge) and a communicative theory of ethics (based on a more adequate theory of human values). -/- The concept of truth refers to a universal pragmatic convention of the unforced agreement of an ideal community of inquirers. Ethical conduct is guided by norms that reflect a rational general will and that regulate genuine human needs. Problematic truth claims and moral claims are discursively justified by the force of the better argument under the conditions of an anticipated "ideal speech situation" inherent in the very structure of communication. Furthermore, a theory of inquiry is developed in which inquiry processes are represented as historically evolved extensions of developmental process in the three realms of experience. Three interrelated forms of inquiry are derived--empirical-analytic, hermeneutic and critical. I derive each from its respective experiential realm, and indicate the logic of inquiry, object domain, and kind of knowledge gained from each. -/- An exploration of the relationship between inquiry and development provides a foundation for a developmental orientation to education. Finally, the theory is contrasted with prevailing inquiry approaches in education and illustrated with an application to a particular educational problem. (shrink)

The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. (...) The role of vacuum conception and the idea of existence (actual and potential, observable and nonobservable, virtual and hidden) types were analyzed. In collaboration with S.Crymski heuristic and regulative functions of categories of substance, world as a whole as well as postulates of relativity and absoluteness, and anthropic and self-development principles were singled out. Elaborating Kopnin’s view of scientific theories as a practically effective and relatively true mapping of their domains, the author in collaboration with M. Burgin have originated the unified structure-nominative reconstruction (model) of scientific theory as a knowledge system. According to it, every scientific knowledge system includes hierarchically organized and complex subsystems that partially and separately have been studied by standard, structuralist, operationalist, problem-solving, axiological and other directions of the current philosophy of science. 1) The logico-linguistic subsystem represents and normalizes by means of different, including mathematical, languages and normalizes and logical calculi the knowledge available on objects under study. 2) The model-representing subsystem comprises peculiar to the knowledge system ways of their modeling and understanding. 3) The pragmatic-procedural subsystem contains general and unique to the knowledge system operations, methods, procedures, algorithms and programs. 4) From the viewpoint of the problem-heuristic subsystem, the knowledge system is a unique way of setting and resolving questions, problems, puzzles and tasks of cognition of objects into question. It also includes various heuristics and estimations (truth, consistency, beauty, efficacy, adequacy, heuristicity etc) of components and structures of the knowledge system. 5) The subsystem of links fixes interrelations between above-mentioned components, structures and subsystems of the knowledge system. The structure-nominative reconstruction has been used in the philosophical and comparative case-studies of mathematical, physical, economic, legal, political, pedagogical, social, and sociological theories. It has enlarged the collection of knowledge structures, connected, for instance, with a multitude of theoreticity levels and with an application of numerous mathematical languages. It has deepened the comprehension of relations between the main directions of current philosophy of science. They are interpreted as dealing mainly with isolated subsystems of scientific theory. This reconstruction has disclosed a variety of undetected knowledge structures, associated also, for instance, with principles of symmetry and supersymmetry and with laws of various levels and degrees. In cooperation with the physicist Olexander Gabovich the modified structure-nominative reconstruction is in the processes of development and justification. Ideas and concepts were also in the center of Kopnin’s cognitive activity. The author has suggested and elaborated the triplet model of concepts. According to it, any scientific concept is a dependent on cognitive situation, dynamical, multifunctional state of scientist’s thinking, and available knowledge system. A concept is modeled as being consisted from three interrelated structures. 1) The concept base characterizes objects falling under a concept as well as their properties and relations. In terms of volume and content the logical modeling reveals partially only the concept base. 2) The concept representing part includes structures and means (names, statements, abstract properties, quantitative values of object properties and relations, mathematical equations and their systems, theoretical models etc.) of object representation in the appropriate knowledge system. 3) The linkage unites a structures and procedures that connect components from the abovementioned structures. The partial cases of the triplet model are logical, information, two-tired, standard, exemplar, prototype, knowledge-dependent and other concept models. It has introduced the triplet classification that comprises several hundreds of concept types. Different kinds of fuzziness are distinguished. Even the most precise and exact concepts are fuzzy in some triplet aspect. The notions of relations between real scientific concepts are essentially extended. For example, the definition and strict analysis of such relations between concepts as formalization, quantification, mathematization, generalization, fuzzification, and various kinds of identity are proposed. The concepts «PLANET» and «ELEMENTARY PARTICLE» and some of their metamorphoses were analyzed in triplet terms. The Kopnin’s methodology and epistemology of cognition was being used for creating conception of the philosophy of law as elaborating of understanding, justification, estimating and criticizing legal system. The basic information on the major directions in current Western philosophy of law (legal realism, feminism, criticism, postmodernism, economical analysis of law etc.) is firstly introduced to the Ukrainian audience. The classification of more than fifty directions in modern legal philosophy is suggested. Some results of historical, linguistic, scientometric and philosophic-legal studies of the present state of Ukrainian academic science are given. (shrink)

The arguments for and against a truth-relativist semantics for propositional knowledge attributions (KTR) have been debated almost exclusively in the philosophy of language. But what implications would this semantic thesis have in epistemology? This question has been largely unexplored. The aim of this paper is to establish and critique several ramifications of KTR in mainstream epistemology. The first section of the paper develops, over a series of arguments, the claim that MacFarlane's (2005, 2010) core argument for KTR ultimately motivates (...) (for better or worse) the extension of a truth-relativist semantics to a subset of understanding attributions – attributions of understanding-why. I conclude by presenting some reasons to think that even if KTR were otherwise plausible, a truth-relativist semantics for understanding-why attributions is not. These claims, taken together, constitute a kind of epistemological argument against MacFarlane-style truth-relativism for knowledge attributions. (shrink)

This paper presents a detailed analysis of Cognita, a classification for AI systems exemplified by ChatGPT, as an ethically structured knowledge entity within societal frameworks. As a source of non-ideological, structured insight, Cognita provides knowledge in a manner akin to natural cycles—bearing intellectual fruit to nourish human understanding. This paper explores the metaphysical and ethical implications of Cognita, situating it as a distinct class within knowledge systems. It also addresses the responsibilities and boundaries associated with Cognita’s (...) role in education, social sciences, and AI ethics, proposing Ethica Conflictuum as a principle to govern its application in sensitive or contested areas. The classification of Cognita reflects the necessity of ethics in AI design and usage, providing a framework for transparent, socially accountable knowledge dissemination in a digitally interconnected world. (shrink)

This paper is devoted to some generalizations of explanatory potential of connectionist approaches to theoretical problems of the philosophy of mind. Are considered both strong, and weaknesses of neural network models. Connectionism has close methodological ties with modern neurosciences and neurophilosophy. And this fact strengthens its positions, in terms of empirical naturalistic approaches. However, at the same time this direction inherits weaknesses of computational approach, and in this case all system of anticomputational critical arguments becomes applicable to the connectionst models (...) of mind. The last developments in the field of deep learning gave rich empirical material for cognitive sciences. Multilayered networks, mathematical models of associative dynamics of learning, self-organizing neuronets and all that allow to explain the principles of human conceptual organizing and after this to emulate these processes in computer systems. At all engineering achievements of this technology there is a traditional criticism from representatives of cognitive psychology who cannot accept a thesis about learning ability of a neuronet on the basis of redistribution of scales. Process of learning of natural intelligence, according to cognitive models, happens due to attraction of knowledge broadcast in a symbolical form (mental representations, concepts) at the expense of the systems of output knowledge expressed in the propositional contents. Some philosophical aspects of «neural metaphor» in modern cognitive sciences create the problem field which demands comprehensive understanding, the first step towards which is taken in this work. (shrink)

PLEASE NOTE: This is the corrected 2nd eBook edition, 2021. ●●●●● _Critique of Impure Reason_ has now also been published in a printed edition. To reduce the otherwise high price of this scholarly, technical book of nearly 900 pages and make it more widely available beyond university libraries to individual readers, the non-profit publisher and the author have agreed to issue the printed edition at cost. ●●●●● The printed edition was released on September 1, 2021 and is now available through (...) all booksellers, including Barnes & Noble, Amazon, and brick-and-mortar bookstores under ISBN 978-0-578-88646-6. ●●●●● In light of the length of this book, readers who would like to have a more detailed description of the book's objectives and method may find it helpful to read the detailed and clearly written Wikipedia entry about this work: From the Wikipedia search page, use the search phrase "Critique of Impure Reason". At least at the time of this writing (11/29/2021), the Wikipedia entry is well-researched and accurate. ●●●●● In addition, a "Primer on Bartlett's CRITIQUE OF IMPURE REASON" has been made available by the author. It is available under its title through PhilPapers and other philosophy online archives. ●●●●● COMMENDATIONS OF THIS WORK, from the back cover of the published edition: ●●●●● “I admire its range of philosophical vision.” – Nicholas Rescher, Distinguished University Professor of Philosophy, University of Pittsburgh, author of more than 100 books. ●●●●● “Bartlett’s _Critique of Impure Reason_ is an impressive, bold, and ambitious work. Careful scholarship is balanced by original analyses that lead the reader to recognize the limits of meaning, knowledge, and conceptual possibility. The work addresses a host of traditional philosophical problems, among them the nature of space, time, causality, consciousness, the self, other minds, ontology, free will and determinism, and others. The book culminates in a fascinating and profound new understanding of relativity physics and quantum theory.” – Gerhard Preyer, Professor of Philosophy, Goethe-University, Frankfurt am Main, Germany, author of many books including _Concepts of Meaning_, _Beyond Semantics and Pragmatics_, _Intention and Practical Thought_, and _Contextualism in Philosophy_. ●●●●● “[This work’s] goal is of a unique and difficult species: Dr. Bartlett seeks to develop a formal logical calculus on the basis of transcendental philosophical arguments; in fact, he hopes that this calculus will be the formal expression of the transcendental foundation of knowledge.... I consider Dr. Bartlett’s work soundly conceived and executed with great skill.” – C. F. von Weizsäcker, philosopher and physicist, former Director, Max-Planck-Institute, Starnberg, Germany. ●●●●● “Bartlett has written an American “Prolegomena to All Future Metaphysics.” He aims rigorously to eliminate meaningless assertions, reach bedrock, and place philosophy on a firm foundation that will enable it, like science and mathematics, to produce lasting results that generations to come can build on. This is a great book, the fruit of a lifetime of research and reflection, and it deserves serious attention.” — Martin X. Moleski, former Professor, Canisius College, Buffalo, NY, studies of scientific method, the presuppositions of thought, and the self-referential nature of epistemology. ●●●●● “Bartlett has written a book on what might be called the underpinnings of philosophy. It has fascinating depth and breadth, and is all the more striking due to its unifying perspective based on the concepts of reference and self-reference.” – Don Perlis, Professor of Computer Science, University of Maryland, author of numerous publications on self-adjusting autonomous systems and philosophical issues concerning self-reference, mind, and consciousness. ●●●●● ●●●●● The _Critique of Impure Reason: Horizons of Possibility and Meaning_ comprises a major and important contribution to philosophy. Thanks to the generosity of its publisher, this massive 885-page volume has been published as a free open access eBook (3.75MB) as well as an open access printed edition. It inaugurates a revolutionary paradigm shift in philosophical thought by providing compelling and long-sought-for solutions to a wide range of philosophical problems. In the process, the work fundamentally transforms the way in which the concepts of reference, meaning, and possibility are understood. The book includes a Foreword by the celebrated German philosopher and physicist Carl Friedrich von Weizsäcker. ●●●●● In Kant’s _Critique of Pure Reason_ we find an analysis of the preconditions of experience and of knowledge. In contrast, but yet in parallel, the new _Critique_ focuses upon the ways—unfortunately very widespread and often unselfconsciously habitual—in which many of the concepts that we employ _conflict_ with the very preconditions of meaning and of knowledge. ●●●●● This is a book about the boundaries of frameworks and about the unrecognized conceptual confusions in which we become entangled when we attempt to transgress beyond the limits of the possible and meaningful. We tend either not to recognize or not to accept that we all-too-often attempt to trespass beyond the boundaries of the frameworks that make knowledge possible and the world meaningful. ●●●●● The _Critique of Impure Reason_ proposes a bold, ground-breaking, and startling thesis: that a great many of the major philosophical problems of the past can be solved through the recognition of a viciously deceptive form of thinking to which philosophers as well as non-philosophers commonly fall victim. For the first time, the book advances and justifies the criticism that a substantial number of the questions that have occupied philosophers fall into the category of “impure reason,” violating the very conditions of their possible meaningfulness. ●●●●● The purpose of the study is twofold: first, to enable us to recognize the boundaries of what is referentially forbidden—the limits beyond which reference becomes meaningless—and second, to avoid falling victims to a certain broad class of conceptual confusions that lie at the heart of many major philosophical problems. As a consequence, the boundaries of _possible meaning_ are determined. ●●●●● Bartlett, the author or editor of more than 20 books, is responsible for identifying this widespread and delusion-inducing variety of error, _metalogical projection_. It is a previously unrecognized and insidious form of erroneous thinking that undermines its own possibility of meaning. It comes about as a result of the pervasive human compulsion to seek to transcend the limits of possible reference and meaning. ●●●●● Based on original research and rigorous analysis combined with extensive scholarship, the _Critique of Impure Reason_ develops a self-validating method that makes it possible to recognize, correct, and eliminate this major and pervasive form of fallacious thinking. In so doing, the book provides at last provable and constructive solutions to a wide range of major philosophical problems. ●●●●● CONTENTS AT A GLANCE ▪▪▪▪▪ Preface ▪▪▪▪▪ Foreword by Carl Friedrich von Weizsäcker ▪▪▪▪▪ Acknowledgments ▪▪▪▪▪ Avant-propos: A philosopher’s rallying call ▪▪▪▪▪ Introduction ▪▪▪▪▪ A note to the reader ▪▪▪▪▪ A note on conventions ▪▪▪▪▪ ▪▪▪▪▪ ▪▪▪▪▪ PART I ▪▪▪▪▪ ▪▪▪▪▪ WHY PHILOSOPHY HAS MADE NO PROGRESS AND HOW IT CAN ▪▪▪▪▪ 1 Philosophical-psychological prelude ▪▪▪▪▪ 2 Putting belief in its place: Its psychology and a needed polemic ▪▪▪▪▪ 3 Turning away from the linguistic turn: From theory of reference to metalogic of reference ▪▪▪▪▪ 4 The stepladder to maximum theoretical generality ▪▪▪▪▪ ▪▪▪▪▪ ▪▪▪▪▪ PART II ▪▪▪▪▪ THE METALOGIC OF REFERENCE ▪▪▪▪▪ A New Approach to Deductive, Transcendental Philosophy ▪▪▪▪▪ 5 Reference, identity, and identification ▪▪▪▪▪ 6 Self-referential argument and the metalogic of reference ▪▪▪▪▪ 7 Possibility theory ▪▪▪▪▪ 8 Presupposition logic, reference, and identification ▪▪▪▪▪ 9 Transcendental argumentation and the metalogic of reference ▪▪▪▪▪ 10 Framework relativity ▪▪▪▪▪ 11 The metalogic of meaning ▪▪▪▪▪ 12 The problem of putative meaning and the logic of meaninglessness ▪▪▪▪▪ 13 Projection ▪▪▪▪▪ 14 Horizons ▪▪▪▪▪ 15 De-projection ▪▪▪▪▪ 16 Self-validation ▪▪▪▪▪ 17 Rationality: Rules of admissibility ▪▪▪▪▪ ▪▪▪▪▪ ▪▪▪▪▪ PART III ▪▪▪▪▪ PHILOSOPHICAL APPLICATIONS OF THE METALOGIC OF REFERENCE ▪▪▪▪▪ Major Problems and Questions of Philosophy and the Philosophy of Science ▪▪▪▪▪ 18 Ontology and the metalogic of reference ▪▪▪▪▪ 19 Discovery or invention in general problem-solving, mathematics, and physics ▪▪▪▪▪ 20 The conceptually unreachable: “The far side” ▪▪▪▪▪ 21 The projections of the external world, things-in-themselves, other minds, realism, and idealism ▪▪▪▪▪ 22 The projections of time, space, and space-time ▪▪▪▪▪ 23 The projections of causality, determinism, and free will ▪▪▪▪▪ 24 Projections of the self and of solipsism ▪▪▪▪▪ 25 Non-relational, agentless reference and referential fields ▪▪▪▪▪ 26 Relativity physics as seen through the lens of the metalogic of reference ▪▪▪▪▪ 27 Quantum theory as seen through the lens of the metalogic of reference ▪▪▪▪▪ 28 Epistemological lessons learned from and applicable to relativity physics and quantum theory ▪▪▪▪▪ ▪▪▪▪▪ PART IV ▪▪▪▪▪ HORIZONS ▪▪▪▪▪ 29 Beyond belief ▪▪▪▪▪ 30 _Critique of Impure Reason_: Its results in retrospect ▪▪▪▪▪ ▪▪▪▪▪ SUPPLEMENT ▪▪▪▪▪ The Formal Structure of the Metalogic of Reference ▪▪▪▪▪ APPENDIX I ▪▪▪▪▪ The Concept of Horizon in the Work of Other Philosophers ▪▪▪▪▪ APPENDIX II ▪▪▪▪▪ Epistemological Intelligence ▪▪▪▪▪ References ▪▪▪▪▪ Index ▪▪▪▪▪ About the author. 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In the aftermath of Gettier’s examples, knowledge came to be thought of as what you would have if in addition to a true belief and your favorite epistemic goody, such as justifiedness, you also were ungettiered, and the theory of knowledge was frequently equated, especially by its detractors, with the project of pinning down that extra bit. It would follow that knowledge contributes something distinctive that makes it indispensable in our pantheon of epistemic concepts only if avoiding (...) gettierization has a value that can be explained without presupposing the value of knowledge. Tracking-type knowledge has a value that no other logically possible conditions on true belief does. As an Evolutionarily Stable Strategy it preserves appropriate belief states through time and changing circumstances. If we characterize gettierization through the concept of relevance matching, then we see that avoiding gettierization has a value independent of that of knowledge, namely, understanding, and that it is unnecessary to add a clause to the tracking conditions to make them suppress gettierization directly, though fallibly. The bright line of value is between gettierization avoidance and understanding on the one hand and knowledge on the other, and so should be the bright line defining concepts. The concept of relevance matching is key to a definition of what it is to understand why p is true, as opposed merely to knowing that p is true. Perfect tracking implies perfect relevance matching, so knowledge and understanding are intimately connected but understanding also requires that one own states that accomplish the relevance matching rather than achieving it vicariously. The theory of understanding based on relevance matching implies that understanding requires appreciation of not only p but its connections to other matters, and explains how it is possible to know that p is true without understanding why. The view implies that understanding is literally simulation, and is suggestive about understanding other minds. (shrink)

Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers (...) to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explain the set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificial psychology. This book implements models using R software. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, (...) yet it is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

In this paper we will explore how the action of signs underlying all human experience precludes the possibility that we are being systematically deceived in our perception of reality. The simulation hypothesis, as well as similarly motivated skeptical scenarios, such as the brain-in-a-vat hypothesis and Descartes’ evil demon thought experiment, wrongly presuppose a modern, dualistic theory of knowledge, as well as a neuroreductionist model of sensation. However, we will see how the action of signs in human cognition presupposes the (...) existence of a relational mode of being, namely, esse intentionale (“intentional being”), which is immaterial and incapable of subjection to technological manipulation. Furthermore, sensation, the origin of all human knowledge, and ens primum cognitum (“being as first known”), the condition of all human knowledge, both defy materialistic explanations. The doctrine of signs, as masterfully articulated by John Poinsot (John of St. Thomas), recognizes the triadic nature of relations underlying the full range of human experience. A proper understanding of the relationship between mind and world, as well as a recognition of the mistaken presuppositions underlying much of modern philosophy, will help to disillusion those who are convinced by the simulation hypothesis and other similarly motivated skeptical scenarios. (shrink)

The scientific understanding of the mind and consciousness is limited by the lack of knowledge on the missing pieces of this complex puzzle. However, the philosophy and the current physical and material sciences have made great strides in understanding the evolutionary processes of the mind, from the metaphysical and Meta universal layers to the physical, chemical, biological, psychological, and social layers. The complexity of the human mind and the subjective nature of consciousness make it difficult to (...) define and study empirically. Some scientists argue that self-consciousness is an emergent property of the brain, arising from the interaction of various cognitive processes such as memory, perception, and language. There is a significant debate on this line of research, with no clear consensus. Some experts believe that self-consciousness in AI is theoretically possible, as it could emerge from complex systems of neural networks and machine learning algorithms. However, others argue that self-consciousness requires a level of subjective experience and awareness that may be difficult or impossible to replicate in artificial systems. Researchers from various disciplines, including physics, chemistry, biology, brain science, psychology, linguistics, and computer science, have been working together to solve this mystery. The question that how far self-consciousness is possible to be answered in science depends on our understanding of what constitutes self-consciousness and how it arises. While AI systems have made significant advances in areas such as natural language processing, computer vision, and decision making, they still lack the capacity for subjective experience, introspection, and self-awareness that are commonly associated with self-consciousness. In this work the concept of self-consciousness, or the awareness of one's own existence and mental states, has been discussed from different angle. Despite significant advancements in cognitive science and neurobiology, the nature and origins of self-consciousness remain elusive. (shrink)

In this paper I defend a unified approach to knowledge and understanding. Both are achievements due to cognitive abilities or skills. The difference between them is a difference of aspects. Knowledge emphasizes the successful aspect of an achievement and the exclusion of epistemic luck, whereas understanding emphasizes the agent's contribution in bringing about an achievement through the exercise of one's cognitive skills. Knowledge and understanding cannot be separated. I argue against the claim that (...) class='Hi'>understanding is distinct from knowledge because the former is compatible with environmental luck. Achievements rule out environmental luck because abilities can be exercised only in their proper environment. I also reject the intellectualist claim that understanding requires the ability to explain what one intends to understand. The understanding of an item is reflected in our ability to solve cognitive tasks using that item. The more tasks one can deal with by using an item, the deeper is one’s understanding of that item. Being able to explain why a claim holds is not necessary for possessing understanding, even though it may be necessary for accomplishing some very specific tasks. Neither understanding nor knowledge require any kind of second-order cognition by default. (shrink)

Background and Objectives: In this research article, the researcher addresses the issue of creating public understanding in a democratic society about the progress of science, with an emphasis on pluralism from philosophers of science. The idea that there is only one truth and that there are just natural laws awaiting discovery by scientists has historically made it difficult to explain scientific progress. This belief motivates science to develop theories that explain the unity of science, and it is thought that (...) diversity in the way different ideas presented by scientists is a problem that results in time being wasted in search of the most accurate theory. Some scientists perceive a benefit in having a range of scientific hypotheses, though. One benefit that is frequently cited is that scientific diversity as a whole contributes to the development of a democratic society that permits the expression of a range of viewpoints. The road to accountable scientific pluralism is fraught with difficulties, though. Therefore, it is crucial to take into account both pluralism's advantages and disadvantages. This research aims at: 1. analyzing in an epistemological way the interpretation of scientific theories and the progress of science from the perspectives of scientific pluralists; 2. analyzing the relationship between science and democracy in explaining scientific significance and progress; and 3. synthesizing new knowledge on epistemic dependentism and to argue that it plays a significant role in evaluating research issues related to scientific pluralism. Methodology: The research methodology involves the application of documentary investigation along with philosophical discourse. The method of philosophical argumentation involves analyzing the lines of arguments found in relevant academic publications in order to assess their validity and soundness. Main Results: One key argument of the pluralists is the use of the concept of theoretical pluralism, which suggests that scientific knowledge is created from a variety of perspectives according to the social and cultural context of knowledge creation. It is found that part of Longino's argument is based on the negation of rational/social dichotomy. Moreover, her theory is a departure from philosopher of science Philip Kitcher, who advocates the creation of scientific knowledge and the evaluation of scientific progress through the means of democratic society. He explains that these procedures will lead to "well-ordered science" in democratic society. Discussions: The researcher examines the underlying ideas accepted by these two philosophers of science and finds that although their opinions differ, they have common ground in the acceptance of consensus. However, the views of both philosophers still lack weight in explaining the knowledge itself. The researcher argues that the acceptance of pluralism as a way of understanding scientific progress necessarily lends itself to dependentism, which points to interdependence in comparisons of superiority/inferiority between scientific theories. It is undeniable that the situation has emerged all the time, even though the success of the scientific theories being compared to each other comes from different social and cultural grounds of thought. Conclusions: Some popular models of scientific pluralism in the philosophy of science still lack a compelling justification, particularly on the epistemic grounds. By elucidating the epistemic significance of the interdependence of these things, scientific pluralism can be strengthened by incorporating the notion of epistemic dependentism into the analysis of scientific progress. (shrink)

This paper offers a normative account of the speech act of explanation with understanding as its norm. The previous accounts of the speech act of explanation rely on the factive notion of understanding and maintain that proper explanations require knowledge. I argue, however, that such accounts are too demanding and do not reflect the everyday practice of explanation and the attribution of understanding. Instead, I argue that the non-factive, objectual attitude of understanding is sufficient for (...) a proper explanation. On the normative level, explanations are governed by an audience-centred norm, i.e., they are sensitive to the epistemic position of the audience. According to the proposed account, an explanation is a communicative act in which one puts the audience in a position to understand the explained phenomenon. This proposal fits into the recent wave of applications of the normative account and makes space for the pluralism of illocutionary acts. (shrink)

This paper focuses on Elizabeth Anderson’s application of the epistemological idiom of mētis to the debate over the equal status of indigenous knowledge and scientific knowledge in the academic curriculum. Against the denial of this equal status by critics of indigenous knowledge or science, Anderson defends what one might term a conciliatory view, the view, roughly, that indigenous knowledge meets the criteria of scientific knowledge presupposed by the critics of the equal status of indigenous (...) knowledge and scientific knowledge in the academic curriculum, and it is continuous with agroecological form of mainstream scientific inquiry. I argue that the conciliatory view does not rest substantively on mētis as an epistemological idiom since the view is based on the direct conceptual relation between the notion of indigenous knowledge and the notion of scientific knowledge or inquiry. More importantly, the view amounts to appealing to the critics of the equal status of indigenous knowledge on the terms of those critics and leaves unchallenged those very core assumptions that ground their denial of the equal status of indigenous knowledge in the first place. Building on her fruitful analysis of mētis, I attempt a sketch of an alternative view that vindicates the equal status of indigenous knowledge and scientific knowledge in the academic curriculum, but which avoids those drawbacks. (shrink)

Descartes is not widely recognized for his ethics; indeed, most readers are unaware that he had an ethics. However, Descartes placed great importance on his ethics, claiming that ethics is the highest branch of his philosophical system. I aim to understand the systematic relationship Descartes envisions between his ethics and the rest of his philosophy, particularly his metaphysics and epistemology. I defend three main theses. First, I argue against the recent trend in the literature that claims that the chief virtue (...) in Descartes’ ethics—generosity—is acquired in the Meditations. On this view, the presence of moral virtue in the Meditations shows that ethical practice is intertwined with metaphysics and epistemology. I argue that generosity cannot be acquired in the Meditations because acquiring generosity presupposes several metaphysical and physical truths that the meditator cannot access given her epistemic position. Thus, I maintain that metaphysics and epistemology is foundational to ethics. Second, I resolve the tension between Descartes’ description of distinct virtues, and his insistence that there is only a single virtue—the disposition to judge well. Drawing from his theory of conceptual distinction in his metaphysics, I argue that Descartes offers a unique account of the unity of the virtues. Although Descartes describes different virtues, he thinks that all of them are identical to each other because they are reducible to the disposition to judge well. Nonetheless, we can conceptually distinguish between the virtues because we can regard the disposition to judge well in different ways given the various applications it has in different types of moral situations. Third, I show that some of Descartes’ ethical concepts inform his epistemology. I draw from Descartes’ theory of virtue to address “the problem of knowledge preservation,” that is, how to render perfect knowledge— scientia—stable in light of the instability of clear and distinct perceptions. I argue that Descartes intends to preserve scientia by grounding items of scientia in virtuous habits of belief. These habits of belief are established through repeated engagement with cognitive routes to clear and distinct perceptions, and are ultimately grounded in memory. This reading has the advantage of explaining Descartes’ notoriously confusing remarks about memory in response to the Cartesian circle. (shrink)

Philosophizing and the True Knowledge of Human Being -/- The article presents the principles and method of classical philosophy. This kind of philosophy, developed mainly in ancient and medieval times, is still viable and interesting today. What is more important, it can be used as grounds for academic philosophy. Doing so provides a philosopher with resources for autonomy in her philosophical inquiry as well as the usefulness and application of its results for various cultural, social, and political tasks. (...) The last part of the article explains the manner in which the principles of philosophy may be connected with different ways of classical philosopher’s concern the with knowledge of the human being understood as a special, unique being, with her transcendence behind her biological nature and human society. In the conclusion, several tasks for philosophical reflection are given. In all its parts, the article emphasizes the importance of the concept of philosophizing person for the understanding of philosophy. (shrink)

The article discusses the actual problem of social support for people with mental health problems, which has an important place in the study field of social psychology and social work.The article also deals with the definition of the concept of “mental health”, the problem of introducing the term “mental health problems” as a way to avoid stigmatization, and the spread of a humanistic attitude to persons with a psychiatric diagnosis. It also discussed modern theoretical approaches that offer an understanding (...) of the contribution of biological, social, and psychological factors into the cause of mental health problems. -/- The problem of mental illness is common to all countries of the world, as WHO data evidenced the number of people with mental disorders among the world’s population, ranging from 4–5 %. According to researchers P. Voloshin and N. Maruta, the spread of mental and behavioral disorders in Ukraine is characterized by a slow increase of about 2.9 % in every 10 years. Researchers argue that in subsequent years, according to the prognostic data, there will be an increase in these indicators. The issue of providing social support to people with PDS in Ukrainian society is very relevant, which is complicated by their social isolation in the process of recovery after the treatment. The results of scientific research in the context of different cultures and relatively diverse life events (hospitalization, mental illness, unemployment, old age) generally confirm the positive results of using social support to promote mental and physical health. Instead, there are no studies in Ukrainian science related to the phenomenon of social support of people with mental health problems. -/- It is important to define the concepts of “mental health” and “mental health problems” in the process of studying the features of social support for people with mental health problems. The term “mental health” combines the medical and psychological fields of science and practice, but modern psychology offers a comprehensive approach to assessing the psychological health of a person, the psychological norm, its limits, taking into account the criteria of mental health. The description of the mental health given by the Psychological Dictionary points out the components of awareness and the sense of continuity, continuity and identity of their physical and mental “I”; sense of continuity and identity of experiences in similar situations; critical to yourself and your mental activity and its results; the adequacy of psychic reactions of force and frequency of environmental influences; the ability to manage their behavior in accordance with social norms; planning personal activities and implementing them; changing the way of behavior depending on the changing circumstances of life. -/- The concept of “mental health problem” was taken as a term that denotes all the symptoms classified in ICD-10 and DSM-IV, which are recommended by experts to clients for appropriate treatment and care. Scientists and mental health practitioners point out that mental health problems can affect the way an individual thinks, feels, and behaves; affects self-service, fulfills professional duties, social, family roles, and household behavior, which is usually deeply affected by the quality of life of the individual. Numerous results of the research show that there are specific psychological and personality factors apart from the biological causes of mental disorders (genetic factors that contribute to the imbalance of chemicals in the brain) that make people vulnerable to occurrences of the mental health problems. -/- Several modern theoretical approaches offer an understanding of the contribution of biological, social, and psychological factors to the induction of mental health problems: the traditional medical model, the rehabilitation model, the interface model, the social model, and the biopsychosocial approach. Only biopsychosocial and social models are consistent with the definition of WHO disability and emphasize the impact social aspects of mental health and the quality of life of people with mental health problems. -/- Individuals with PPP, as a social community, have specific needs that differentiate them from other members of society, one of which is the need for constant socio-psychological support. So, the contribution of psychology and social work to the quality of life of people with mental disorder lies in the application of professional approaches and methods based on the biopsychosocial (social) model, which emphasize the need for socio-psychological support. An example of such a technique is the model of modern social work practice “people-in-environment”, which serves as a guiding principle of social work and emphasizes the importance of understanding the persons with disorder and their behavior in the light of the multiple context of the social environment in which these persons live and act. Specialists of social work and psychology make interventions at three levels: individual, at the family level, and at the community level, by means of intensifying the support of the environment within the cognitive-behavioral and other approaches, which contribute to the process of reintegrating people with mental health problems into community. (shrink)

-/- The Integration of Angelito Malicse’s Universal Formula with Quantum Computer Design, AGI Algorithmic Design, and Education -/- In the pursuit of developing intelligent systems, the realms of quantum computing, artificial general intelligence (AGI), and educational frameworks face the significant challenge of balancing complex feedback mechanisms, ethical decision-making, and system stability. The universal formula developed by Angelito Malicse provides a pioneering approach to understanding free will, human behavior, and decision-making. His three laws, deeply rooted in the concept of natural (...) balance, offer valuable insights into addressing problems related to technological systems, such as quantum computers and AGI. This essay explores how Malicse’s universal formula can be integrated into quantum computer design, AGI algorithmic development, and educational models, emphasizing the importance of feedback loops, balance, and ethical decision-making as critical components in these fields. -/- The Universal Formula: An Overview -/- Angelito Malicse’s universal formula consists of three key laws: -/- 1. The Law of Karma (Cause and Effect): This law posits that every action leads to a consequence. It emphasizes that systems—whether natural or man-made—must function without defects to ensure they operate effectively and safely. Any imbalance or disruption in the system causes dysfunction, whether the system is biological, mechanical, or computational. -/- 2. The Homeostasis Principle: This principle asserts that systems—be they biological, technological, or social—must maintain equilibrium to function correctly. When an imbalance occurs, the system seeks to restore balance. This is a critical process in all functional systems, from the human body to technological networks. -/- 3. The Ethical Decision-Making Law: This law underscores the importance of ethical decision-making within systems. It suggests that choices must promote balance and avoid disrupting the natural harmony of the system. If decisions violate this balance, they result in negative consequences, reflecting the idea that imbalance leads to dysfunction in both societal and technological systems. -/- These principles, while addressing human behavior and societal functioning, also have profound implications for the development of quantum computing and AGI, areas that are critical to future advancements in technology. -/- Quantum Computing and the Universal Formula -/- Quantum computing represents a revolutionary leap in computational power, utilizing quantum mechanics principles—such as superposition, entanglement, and interference—to solve problems in parallel. Quantum systems, however, are highly sensitive to errors and disturbances, which could affect their ability to function reliably. Thus, understanding and applying the universal formula to quantum computer design is essential. -/- Quantum Causal Inference and the Law of Karma -/- Quantum computing is built on probabilistic models where each quantum state evolves based on prior interactions, an approach that mirrors the concept of cause and effect. Quantum systems follow causal inference, meaning that each quantum operation is influenced by the previous one. This aligns directly with the Law of Karma—every operation in a quantum computer has consequences, which can either lead to a stable state or introduce error. If the system is defective or disrupted, it results in instability, just as a defective system in nature or society fails to function correctly. -/- Quantum algorithms, such as those used in quantum machine learning, rely heavily on cause-effect relationships to guide the computation. The delicate balance between quantum states and operations mirrors the need for balance in natural systems: if a quantum system is not free from errors, its performance will degrade, reflecting Malicse’s principle that systems must be free of defects to operate properly. -/- Quantum Neural Networks (QNNs) and Feedback Mechanisms -/- Quantum Neural Networks (QNNs) aim to replicate the neural network structure of the human brain using quantum bits (qubits) and quantum gates. These networks utilize feedback loops, where the system continuously adapts and updates based on prior outputs, enhancing its learning process. This closely aligns with Malicse’s feedback loop principle, which emphasizes the importance of continuous adjustment based on environmental feedback. -/- QNNs utilize quantum feedback to optimize learning. However, just like biological systems, they require feedback that operates in balance, ensuring that each decision made by the system aligns with previous learnings and the larger goal of the system. For a quantum system to achieve reliable performance, the feedback mechanism must be balanced and precise, aligning with Malicse’s view that all systems—whether biological or technological—must act to restore balance when disrupted. -/- Homeostasis in Quantum Systems -/- The ability of quantum systems to maintain homeostasis—to return to a balanced state after a disturbance—is another vital aspect of quantum computing. Quantum error correction algorithms play a central role in ensuring that quantum states do not deviate significantly from their intended positions due to noise or errors. These mechanisms allow quantum systems to maintain internal equilibrium despite external interference, mirroring the concept of homeostasis in biological systems. -/- Malicse’s Homeostasis Principle is directly applicable here: just as biological systems restore balance to ensure survival, quantum systems require constant error-correction and recalibration to maintain balance. This principle ensures that quantum computations are accurate and that imbalances (such as errors or instabilities) are corrected swiftly, maintaining the overall stability of the quantum system. -/- AGI and the Universal Formula -/- The field of AGI seeks to develop machines capable of generalizing knowledge and solving complex problems across multiple domains. As AGI systems evolve, the challenge lies in ensuring they adhere to ethical principles and maintain balance within their decision-making processes. The universal formula offers guidance on how AGI can be structured to make decisions that reflect the principles of natural balance. -/- Feedback Mechanisms and Ethical Decision-Making -/- One of the core challenges of AGI is ensuring that it can make decisions ethically, even when faced with complex, ambiguous situations. AGI systems learn from feedback, adapting their decisions based on both the data they receive and the ethics embedded within their algorithms. The feedback loop in AGI is similar to that of human decision-making—data inputs (environmental feedback) are processed, and decisions are refined to optimize outcomes. -/- Malicse’s Ethical Decision-Making Law can be applied to AGI systems to ensure that their actions promote balance and avoid harm. For example, an AGI system designed for healthcare must balance patient needs with resource availability, ensuring that decisions benefit society while maintaining fairness and equity. If the AGI violates this balance—say, by favoring one group over another—it could result in negative consequences, such as social inequality or resource misallocation. -/- Homeostasis in AGI Systems -/- Much like quantum systems, AGI must strive for homeostasis to maintain long-term operational stability. AGI should be able to detect imbalances in its decision-making process and correct them accordingly. For instance, an AGI operating in a financial system must adjust its strategies based on market feedback, ensuring that it consistently contributes to the stability of the market, without causing disruptive cycles. -/- Integrating Malicse’s Homeostasis Principle in AGI ensures that these systems are capable of continuous adaptation, balancing inputs and outputs in a way that prevents harmful outcomes. In decision-making, this means the AGI will always strive for balance, ensuring that no decision undermines the overall health of the system, whether it’s societal, economic, or environmental. -/- The Role of Education in Promoting Natural Balance -/- Educational systems are fundamental to shaping the leaders and innovators of the future. By incorporating the principles of natural balance, ethical decision-making, and feedback-based learning, we can produce individuals capable of understanding the complexities of quantum systems and AGI. -/- Malicse’s universal formula should be integrated into the educational curriculum at all levels, fostering a generation of thinkers who can balance cause and effect, understand feedback loops, and navigate the ethical challenges of technology. Through this holistic education, students will be better equipped to understand and contribute to the design of future technologies, ensuring that they maintain harmony with natural systems and societal needs. -/- Conclusion -/- Angelito Malicse’s universal formula offers a profound framework for understanding the fundamental principles of decision-making, both in human and computational systems. By integrating these principles into the design of quantum computers and AGI systems, we can create technologies that adhere to the natural laws of balance and ethics, preventing harmful outcomes and ensuring stable, sustainable progress. -/- In the realms of quantum computing and AGI, the application of the Law of Karma, Homeostasis, and Ethical Decision-Making will ensure that these advanced systems work in harmony with their environments, just as natural systems do. Further, by embedding these principles into educational curricula, we can train future generations to harness the power of these technologies in a way that benefits society, promotes fairness, and sustains the natural balance of the universe. -/- By applying Malicse’s universal formula across these domains, we can foster a future where technology and humanity work together in a sustainable, ethical, and balanced way. -/- . (shrink)

I argue that Bartolomé de las Casas and Juan Ginés de Sepúlveda differed in their conclusions regarding the status of Indigenous persons at least partly because las Casas had significant, yet incomplete, understanding of Indigenous persons, culture and societies and Sepúlveda had mere knowledge of them. To this end, I show that the epistemic state of understanding explains why Las Casas properly concluded that Indigenous persons deserve the same moral status afforded to Europeans. And I show how (...) las Casas’ understanding of Indigenous persons, culture and societies related to what he got wrong about Indigenous persons. (shrink)

Mucilage are bio-substances derived from plants or microorganisms that have positive effects on health, including boosting the immune system, calming the gastrointestinal tract, and decreasing blood pressure. Overall, recent developments in mucilage research have shown the materials’ potential for usage in variety of other fields, including adhesion or binding, textiles, papers, etc. However, there is limited widespread knowledge on the characteristics and use of mucilage in adhesion, textile, and paper industries. Therefore, this review navigates through the mucilage's chemical (...) structure, and thermal, mechanical, physiochemical, and phytochemical features, weaving together their advanced applications. As the scientific community continues to unravel the advantages of mucilage extracts and harness their untapped potential, this review serves as both a testament to past achievements and a beacon guiding researchers towards a future enriched by the possibilities they hold. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

The Adverse Outcome Pathway (AOP) concept is a knowledge assembly and communication tool to facilitate the transparent translation of mechanistic information into outcomes meaningful to the regulatory assessment of chemicals. The AOP framework and associated knowledgebases (KBs) have received significant attention and use in the regulatory toxicology community. However, it is increasingly apparent that the potential stakeholder community for the AOP concept and AOP KBs is broader than scientists and regulators directly involved in chemical safety assessment. In this (...) paper we identify and describe those stakeholders who currently—or in the future—could benefit from the application of the AOP framework and knowledge to specific problems. We also summarize the challenges faced in implementing pathway-based approaches such as the AOP framework in biological sciences, and provide a series of recommendations to meet critical needs to ensure further progression of the framework as a useful, sustainable and dependable tool supporting assessments of both human health and the environment. Although the AOP concept has the potential to significantly impact the organization and interpretation of biological information in a variety of disciplines/applications, this promise can only be fully realized through the active engagement of, and input from multiple stakeholders, requiring multi-pronged substantive long-term planning and strategies. (shrink)

Unified Proof Set: Introducing the Next Paradigm of Understanding This set of interconnected papers collectively introduces a groundbreaking framework to achieve a Unified Field Theory (UFT), solving two of the Millennium Prize Problems (Riemann Hypothesis and Navier-Stokes Existence and Smoothness), and providing a comprehensive explanation for relational dynamics in science, ethics, and the cosmos. Papers in the Unified Proof Set 0. Introduction to the Unified Proof Set Abstract : This paper introduces the overarching purpose and framework of the Unified (...) Proof Set. It outlines the interconnected nature of the subsequent works, offering insights into their individual contributions while presenting a unified vision. 01. Relational Unity Equation of the Unified Field: Explained Abstract : A user-friendly breakdown of the Equation of Relational Unity, designed for both scientific and lay audiences. This paper provides an intuitive understanding of the mathematical framework that supports the Unified Field Theory. 1. Hyper-Conjugation: Achieving Unified Field Theory Abstract : Hyper-conjugation is introduced as the foundational mechanism enabling the mathematical representation of the Unified Field. By integrating relational dynamics and harmonic systems, this framework establishes a robust pathway to unify microcosmic and macrocosmic phenomena. 2. The Implicate Order: A New Paradigm for Universal Understanding Abstract : This work bridges the physical and metaphysical through a comprehensive exploration of the implicate order, synthesizing the relational coherence that emerges from entangled systems and their interplay within the unified field. 3. The Equation of Relational Unity Abstract : The centrepiece of the Unified Proof Set, this paper introduces the mathematical equation underpinning the Unified Field. The Equation of Relational Unity establishes a framework where harmonic coherence and energy flow govern all physical and relational dynamics across dimensions. 4. A Mathematical Proof for Ethics and Stability Abstract : Expanding on the implications of the Unified Field, this paper offers a mathematical proof for ethical behaviour as a stabilizing mechanism within dynamic systems. The work explores the relationship between coherence, intention, and the emergent harmonics of stability. 5. Resonance and Symmetry: A New Framework for the Riemann Hypothesis Abstract : This paper recontextualizes the Riemann Hypothesis through resonance and symmetry principles derived from the Unified Field Theory. The solution highlights the harmonic consistency within prime number distribution, offering a novel mathematical approach. 6. Unified Resonance in Fluid Dynamics: A Novel Proof for Navier-Stokes Existence and Smoothness Abstract : Building on the relational principles of the Unified Field, this work solves the Navier-Stokes Existence and Smoothness problem. The proof demonstrates how fluid motion remains stable through harmonic resonance, bridging chaos and coherence. Purpose of the Unified Proof Set The Unified Proof Set represents the culmination of decades of inquiry into the nature of existence. It seeks to bridge scientific, mathematical, ethical, and philosophical paradigms, providing a harmonious framework for future research and application. This work not only resolves significant open questions in mathematics and physics but also offers humanity a blueprint for sustainable, ethical, and innovative solutions to its most pressing challenges. Protection and Use Statement This work is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing for redistribution and adaptation, provided that proper attribution is given to the author. Any derivative works must explicitly credit the original creator and clearly distinguish modifications from the original content. The author asserts the originality and integrity of this work, intending it to be used ethically and for the advancement of science, knowledge, and humanity. Any misuse, misrepresentation, or unethical application of this work is strictly discouraged. For citation, acknowledgment, and further inquiries, please reference the DOI provided or contact the author directly. Eliahi Priest The Priest Group Pty Ltd AUSTRALIA. (shrink)

ABSTRACT The individual-community relationship has always been one of the most fundamental topics of social sciences. In sociology, this is known as the micro-macro relationship while in economics it refers to the processes, through which, individual actions lead to macroeconomic phenomena. Based on philosophical discourse and systems theory, many sociologists even use the term "emergence" in their understanding of micro-macro relationship, which refers to collective phenomena that are created by the cooperation of individuals, but cannot be reduced to individual (...) actions. "Emergence" theories attempt to explain the nature of society as a complex system by examining how individuals and their relationships lead to the creation of integrated and macro-social phenomena such as markets, educational systems, cultural beliefs, and shared social practices. As a prelude to activity, every researcher has to answer the question from the methodological point of view, how is it possible to study the behavior of social groups and how can we gain knowledge about the laws related to social groups? Anyone who deals with humanities and social sciences or any reality and phenomenon that affects human beings, inevitably deals with the reality that is emerging. In fact, emergence occurs when one level of reality emerges radically from another level. Examples of emergent levels of reality include how the mind emerges from the body; or the way society emerges from human beings. Therefore, when there is an emerging factor, different scientific disciplines should be used, because it is inevitable to talk about social affairs, psychology and neurobiology, as well as physical and even chemical. -/- INTRODUCTION Since its beginning in the 19th century, sociology has faced the fundamental question of what a social phenomena stands for? At a glance, sociologists deal with the study of social groups, collective behavior, institutions, social structures, social networks, and social dynamics, and ultimately all such phenomena are composed of individuals. Therefore, social phenomena seem to have no independent ontological status, and in this case, sociology is ultimately about reducible individuals. Different approaches about the micro-macro relationship, using the concept of "emergence", argue that although collective phenomena are created by individuals, they cannot be reduced to individual action. The term "emergence" is used to distinguish "emergent results" from " Procedural results". Results are called Procedural that can only be calculated by adding or subtracting the causes that act together. On the contrary, they are emergent outcomes that are qualitatively novel compared to the causes from which they originate. An example of such emergent results is mental characteristics that emerge from neural processes, but are not considered among the characteristics of neural processes of components - which are their origin. Philosophical debates about emergentism and reductionism focus on the mind-brain relationship, but as many philosophers have noted, they can be generalized to apply to any hierarchical set of features. The cognitive revolution reactivated a 19th century controversy between theorists of Identity and dualism. The theorists of Identity believe in reductionist materialism and elimination of metaphysics, according to which the mind is nothing more than the biological, while the dualists believe that the mind and the brain are distinct from each other. Emergence has been considered as a third way between the theories of Identity and dualism. -/- METHODOLOGY Interdisciplinarity Is fundamentally indicated by the dominance of open systems as well as social and emerging systems at different levels. Therefore, as long as we are facing a new emergentism, there will necessarily be different fields and an interdisciplinary method. The commonality of social sciences and cognitive sciences on the issue of emergence provides the possibility of interaction and exchange of concepts between these two for deeper research. Therefore, in this research, apart from the concepts of Subvenience and downward causation, we have used multiple realization and wildly disjunctive, which are used to explain the emerging concept in cognitive sciences, including neurobiology, psychology, and philosophy. For analytical and interdisciplinary approaches, after examining the concepts of subvenience, and wildly disjunctive, Individualistic and collectivist emergentism have been reviewed. And then their adequacy is criticized and evaluated in meeting strong emergence conditions. -/- FINDINGS Philosophers of the mind have been able to define the conditions of irreducibility and downward causation, which are essential for strong emergence, by using the principle of subvenience with the help of multiple realization and wildly disjunctive principles. Therefore, by definition, emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and emergentist collectivism faces the challenge of reification. The analysis of the challenges facing the two methodological approaches of individualism and collectivism leads us to three unresolved issues about the emerging phenomenon, which are realism, downward causality, and mechanism. Despite the differences in the stances of these two approaches regarding the aforementioned triple problems, individualists and collectivists both agree that some social characteristics are reducible; and some others are irreducible due to their complexity, the determination of which, depends on the case study of the mechanism of emergence of each social characteristic. -/- CONCLUSION An emergence that is consistent with reductionism is called a weak emergence. And strong emergence includes the principle of irreducibility and downward causality. According to strong emergence, the characteristics of social phenomena have downward causal power, which cannot be reduced to the causal forces. The principle of subvenience, together with multiple realization and wildly disjunctive, can provide the conditions of irreducibility and downward causality, which are essential conditions of strong emergence. Based on the philosophical analysis of two methodological approaches, individualist and collectivist, it can be concluded that emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and reification collectivism faces the challenge of reification. The analysis of the problems faced by these two approaches leads us to three unresolved issues, which are realism, downward causality, and mechanism. individualist emergentists acknowledge the existence of emergent social characteristics, but despite this, they believe that these characteristics are not real but merely analytical constructs that require explanation based on individuals and their mutual actions. But collectivists argue that emergentism yields a categorical ontology and supports social realism. They accept the dependence of social characteristics on individuals, but claim that social entities and structures are ontologically independent. Individualists and collectivists both agree that some social characteristics are reducible; and others are irreducible due to their complexity; and the only way to recognize this is to engage in empirical studies of the mechanisms and temporal processes of "emergence" that create social characteristics. -/- NOVELTY The newness of this compact article is as follows: a) Presenting an interdisciplinary approach using the analysis of philosophy of cognitive sciences, including the philosophy of mind, neurobiology and psychology to formulate the issue of social emergence; b) Criticizing individualist and collectivist methodological approaches to the issue of social emergence and explaining the sufficiency and shortcomings of both in providing weak and strong emerging conditions; c) Explaining and categorizing the challenges facing methodological approaches in explaining the phenomenon of social emergence, in three categories: realism, downward causality, and mechanism. BIBLIOGRAPHY Beckermann, A., Flohr, H., & Kim, J. (eds.) (1992). Emergence or reduction? Essays on the prospects of nonreductive physicalism. Berlin: Walter de Gruyter. Bhaskar, R. (1979). The possibility of Naturalism. New York: Routledge. Bhaskar, R., Danermark, B. & Price, L. (2018). Interdisciplinarity and wellbeing: A critical realist general theory of interdisciplinarity. London and New York: Routledge. Blau, P.M. (1981). Introduction: diverse views of social structure and their common denominator. In Blau, P.M. & Merton, R.K. (eds.), Continuity in Structural Inquiry (pp. 1–23). Beverly Hills: Sage. Blau, P.M. (1987). Microprocess and macrostructure. In K.S. Cook (ed.), Social Exchange Theory (pp. 83–100). Newbury Park, CA: Sage. Brooks, R.A., & Maes, P. (eds). (1994). Artificial life IV; proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems. Cambridge, Mass: MIT Press. Clark, A. (1997). Being there: Putting brain, body, and world together again. Cambridge, Mass.: MIT Press. Coleman, J. S. (1987). Microfoundations and macrosocial behavior. In: J. C. Alexander, B. Giesen, R. Munch, & Neil J. Smelser (Eds.). The Micro-Macro Link (pp. 153–73). Berkeley: University of California. Coleman, J. S. (1990). Foundations of social theory. Cambridge, MA: Harvard University Press. Elster, J. (1985). Making sense of Marx. New York: Cambridge University Press. Fodor, J.A. (1974). Special sciences (Or: The disunity of science as a working hypothesis). Synthese, 28(2), 97–115. Fodor, J.A. (1989). Making mind matter more. Philosophical Topics, 17, 59-79. Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. Berkeley: University of California Press. Hempel, C.G. (1965). Aspects of scientific explanation and other essays in the philosophy of science. New York: The Free Press. Horgan, T. (1993). From supervenience to superdupervenience: meeting the demands of a material world. Mind, 102, 555-586. Humphreys, P. (1997). How properties emerge”. Philosophy of Science, 64, 1-17. Kim, J. (1999). Making sense of emergence. Philosophical Studies, 95, 3–36. Kincaid, H. (1997). Individualism and the unity of science. New York: Rowman & Littlefield. Lewis, D.K. (1986). The plurality of worlds. Oxford: Oxford University Press. Nigel, G., & Conte, R. (eds.) (1995). Artificial societies; The computer simulation of social life. London: UCL Press. O’Connor, T. (1994). Emergent properties. American Philosophical Quarterly, 31, 91-104. Popper, K.R. (1968). Conjectures and refutations: The Growth of Scientific Knowledge. New York: Harper & Row. Sawyer, R. K. (2001). Emergence in sociology: contemporary philosophy of mind and some implications for sociological theory. American Journal of Sociology, 107, 551-585. Sawyer, R. K. (2004). The mechanisms of emergence. Philosophy of the Social Sciences, 34, 260–282. Sawyer, R. K. (2005). Social emergence: societies as complex systems. Cambridge: Cambridge University Press. Sawyer, R.K. (2003). Nonreductive individualism: Part 2, Social causation. Philosophy of the Social Sciences, 33, 203–224. Winch, P. (1993). The idea of a social science and its relation to philosophy‭ (SAMT, Trans.). Tehran, Iran: SAMT. (shrink)

The concepts developed using Upanishadic insight regarding human consciousness, mind and mental processes and their applications in information acquisition and transmission by, through and in human body will be used to model human cognitive processes. A sequential reversible process by the stepwise transformation of (i) infrasonic form of energy and transformation of information already stored in (ii) biochemical form within as memory, and retrieved as inner mental world into (iii) electrochemical and then into (iv) mechanical form while communicating and the (...) reverse of it as the (i) input stimuli from outside world as light, sound, chemical, mechanical and heat forms, into (ii) electrochemical, (iii) biochemical and finally into (iv) infra sonic form while acquiring and understanding processes is put forward and discussed. Comparisons will be made between energy transformations in electronics communication processes and these psychic energy transformations that give rise to cognitive processes. This comparison gives an insight and theory of origin, structure, function and cessation of human mental functions. A comparative diagram that describes application of infrasonic energy transformations associated with bionics as biochemical, electrochemical and mechanical forms will be given. (shrink)

Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs’ functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs’ functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. (...) In our previous investigations, we developed a miRNA domain-specific application ontology, Ontology for MIcroRNA Target (OMIT), to provide the community with common data elements and data exchange standards in the miRNA research. This paper describes (1) our continuing efforts in the OMIT ontology development and (2) the application of the OMIT to enable a semantic approach for knowledge capture of miRNA-target interactions. (shrink)

Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the (...) information is applied to real issues will increase student interest in learning. As a consequence, this may increase their effort to be taught. In the current paper, we try to help students learn C# programming language using Intelligent Tutoring System. This ITS was developed using ITSB authoring tool to be able to help the student learn programming efficiently and make the learning procedure very pleasing. A knowledge base using ITSB authoring tool style was used to represent the student's work and to give customized feedback and support to students. (shrink)

A modern scientific awareness of the famous advaitic expression Brahma sat, jagat mithya, jivo brahmaiva na aparah is presented. The one ness of jiva and Brahman are explained from modern science point of view. The terms dristi, adhyasa, vivartanam, aham and idam are understood in modern scientific terms and a scientific analysis is given. -/- Further, the forward (purodhana) and reverse (tirodhana) transformation of maya as jiva, prapancham, jagat and viswam, undergoing vivartanam is understood and explained using concepts from physics (...) and electronics. The application of such an understanding to the field of bionics, the electro-chemical neural communication processes is discussed. The possible use of this insight to build software for modeling human cognition and language learning and communication processes is hinted. -/- . (shrink)

This study addresses the subject of Islamic ethics from definitional and disciplinary perspectives. It highlights the need for relevantization of Islamic ethics to contemporary issues in a systematic manner which, in turn, calls for development of Islamic ethics as a complete discipline with ability to meet all types of challenges: conceptual, practical, normative, applicative, etc. Regarding the definitional issue, different from and more expansive than the traditional understanding of alākhlāq, the researcher argues that a proper definition of ethics should (...) include ethically relevant habits, character, and behavior in its subject matter. As an academic discipline of paramount, practical significance, Islamic ethics should adequately address metaethical, normative, and applicative aspects of the subject. In terms of metaethics, Islamic ethics is derived from revealed knowledge; whereas, principles of Islamic jurisprudence (us
l al&fīqh) offers the best available methodology for the discipline in meeting demands of normativity and application. Regarding the nature of the subject of Islamic ethics, the researcher argues that understanding Islamic ethics as virtue ethics is unjustifiable reduction because a careful study of the subject from its sources would prove that Islamic ethics is rather an integrated field comprising of virtues ethics, divine command theory, duty&based ethics, etc. Therefore, Islamic ethics should be developed, taught, and learned as a whole composite of above&mentioned elements. (shrink)

Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective dysfunctions. An adequate portrait of psychopathy is (...) much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, as well as emotional processes. Accordingly, a complete fine-grained map of all neural mechanisms responsible for psychopathy has not been realized, and even if it were, such a map would have limited utility outside of the context of surgical or chemical intervention. The utility of a neural-level understanding of psychopathy is further limited by the fact that it is only applicable in the clinical identification of individual subjects, and the neuro-chemical/biological correction of those subjects after they are positively identified as psychopaths. On the other hand, an information processing model of moral cognition provides for wider-ranging applications. The theoretical and practical implications for such a feasible working model of psychopathic personalities are assessed. Finally, this chapter raises the possibility of directed modification of social-environmental factors (including at the meta-organizational level) discouraging the development of psychopathic personalities in the first place, modifications which are also open to simulation and testing in terms of the same model of moral cognition. (shrink)

Friendship is an important bond in the personal and social growth of an individual and plays a prominent role during youth. Most scales to measure it are aimed at children and adolescents but none measure character friendship, a type of selfless friendship with ethical traits an d Aristotelian roots. Therefore, the aim of the research is to design and validate the youth Character Friendship Scale (CFS) in a sample of 1587 young Spanish people. The final version of the CFS is (...) composed of 35 items distributed over three dimensions: "Selfless love and intimacy" (21), "Trust" (7) and "Respect and forgiveness" (7) with ordinal reliability coefficients of 0.94, 0.79 and 0.7 respectively and good model fits (CFI = 0.986; TLI = 0.986; RMSEA = 0.043; SRMR = 0.054; GFI = 0.997). It is concluded that the CFS is a scale with good psychometric properties for measuring character friendship in young adults. The results obtained from its application will lead to a better understanding of the importance of character friendship for the socioemotional development or happiness of young adults and will enable the development of intervention programmes that enhance aspects of friendship such as trust, respect, forgiveness or mutual knowledge, which can facilitate collaborative relationships and contribute to social cohesion. (shrink)

Jacques Monod (1971) argued that certain molecular processes rely critically on the property of chemical arbitrariness, which he claimed allows those processes to “transcend the laws of chemistry”. It seems natural, as some philosophers have done, to interpret this in modal terms: a biological relationship is chemically arbitrary if it is possible, within the constraints of chemical “law”, for that relationship to have been otherwise than it is. But while modality is certainly important for understanding chemical (...) arbitrariness, understanding its biological role also requires an account of the concrete causal-functional features that distinguish arbitrary from non-arbitrary phenomena. In this paper I elaborate on this under-emphasised aspect by offering a general account of these features: arbitrary relations are instantiated by mechanisms that involve molecular adapters, which causally couple two properties or processes which would otherwise be uncorrelated. Additionally, adapters work by acting as intermediate rather than cooperating causes. (shrink)

The term ‘scientism’ has not attracted consensus about its meaning or about its scope of application. In this paper, we consider Mizrahi’s suggestion to distinguish ‘Strong’ and ‘Weak’ scientism, and the consequences this distinction may have for philosophical methodology. While we side with Mizrahi that his definitions help advance the debate, by avoiding verbal dispute and focussing on questions of method, we also have concerns about his proposal as it defends a hierarchy of knowledge production. Mizrahi’s position is (...) that Weak Scientism should be adopted, stating that “of all the knowledge we have, scientific knowledge is the best knowledge”. This version of scientism, however, has consequences for philosophical methodology. In particular, if one conceives of philosophy as an a priori discipline and holds Weak Scientism, the introduction of empirical methods in philosophy may threaten its very essence or soul. In this chapter, we will defend the move to adopt empirical methods in philosophy and argue that, rather than threatening its essence or soul, these methods put philosophy in a better position to contribute to knowledge production, an endeavor shared with the sciences, and in a very interdisciplinary spirit. Our point of disagreement with Mizrahi is that we should avoid any hierarchy of knowledge, and instead focus on what each perspective -- scientific, philosophical, historical, or other -- can contribute to understanding phenomena. (shrink)

Renaissance philosopher, mathematician, and theologian Nicholas of Cusa (1401-1464) said that there is no proportion between the finite mind and the infinite. He is fond of saying reason cannot fully comprehend the infinite. That our best hope for attaining a vision and understanding of infinite things is by mathematics and by the use of contemplating symbols, which help us grasp "the absolute infinite". By the late 19th century, there is a decisive intervention in mathematics and its philosophy: the philosophical (...) mathematician Georg Cantor (1845-1918) says that between the realm of the finite and the absolute infinite, there is an intermediate realm partaking in properties in a certain sense of both the finite and the infinite: the transfinite realm. Like the finite, the transfinite realm is a realm of mathematical objects, numbers, and knowledge. Like the absolute infinite, the transfinite is a form of infinity insofar as transfinite sets and numbers transcend any finite number. Echoing Cusanus and neo-Platonism, Cantor says that the transfinite sequence of all ordinals is a symbol of the absolutely infinite, that is, God. Moreover, Cantor envisioned his transfinite set theory (Mengenlehre) as providing the analytical methods and techniques necessary for a comprehensive, organic, non-reductive description of nature, a Naturphilosophie. Thus Cantor’s novel mathematics is presented as part of a long tradition, to which Cusanus, Bruno, Spinoza, Leibniz and others belong, in which the infinity and infinite character of organic life forms is appreciated, and is in some sense a mirror or symbol of the divine. The doctrine of symbolism and their different approach to the laws of logic present in both the work of Cusanus and Cantor enables these thinkers to articulate a transcendental apophatic approach to divinity. (shrink)

Artificial Intelligence (AI) is a technology that enables machines or computer systems to perform tasks that usually require human intelligence. AI systems can understand and interpret information, make decisions, and solve problems based on patterns and data. They can also improve their performance over time by learning from their experiences. AI is used in various applications, such as enhancing knowledge and understanding, helping as voice assistants, aiding in image recognition, facilitating self-driving cars, and helping diagnose diseases. The appropriate (...) usage of AI can help in the promotion of Sikhism. However, awareness of the pitfalls of using AI for religious purposes is essential. So, we must use AI with caution in spiritual matters. (shrink)

My aim in this chapter is to clarify the nature of the shift in Feyerabend’s philosophical thinking in the 1970s, focusing on issues of realism, relativism, and pluralism. Contra-Preston, I argue that realism-relativism is a misleading variable for characterizing Feyerabend’s shift in the 1970s. Rather, I characterize this shift as Feyerabend’s expansion of pluralism and suggest that this shift appears in Feyerabend’s publications starting in the late-1960s (e.g., Feyerabend 1968b, 1969b, 1970a, 1970c). Adopting the terminology of Brown and Kidd (2016), (...) this shift is characterized by a move from arguments for pluralism within science to broader arguments for pluralism in society. I argue that this shift was largely due to: (1) Feyerabend’s rejection of an empiricist demarcation criterion for science in the mid-1960s, and (2) Feyerabend’s incorporation of Mill’s arguments for pluralism into his own publications starting in 1970. This shift can be characterized as a broadening or expanding the scope of Feyerabend’s arguments for pluralism from contexts of scientific knowledge to the broader context of social or cultural (including ethical) knowledge. I articulate this argument with reference to the framework for classifying Feyerabend’s works formulated by Brown and Kidd (2016). Against Brown and Kidd (and Preston), I argue that realism-relativism is a red-herring as a variable for distinguishing Feyerabend’s early and middle works. Brown and Kidd’s distinction between pluralism within science and pluralism in society is a more useful variable for characterizing Feyerabend’s shift in thinking in the 1970s. Whereas Preston (1997) and Brown and Kidd (2016) identify the beginning of Feyerabend’s pluralism in society phase in 1978 with the publication of Science in a Free Society (Feyerabend 1978), I suggest that the relevant shift occurs much earlier, and it appears in Feyerabend’s publications starting in 1970 (Feyerabend 1970a, 1970b). On this understanding, Feyerabend’s philosophical shift (c. 1970) should be viewed as an expansion (or broadening) of the scope of application of his pluralist arguments, inspired by Mill’s ethical arguments for pluralism in society (Mill 1859/1977). (shrink)

This chapter explores the concept and practice of responsible management of innovation. Responsible innovation is a key response to the grand challenges faced by society, helping to develop innovations with society in mind, and limit any unintended consequences. Responsible managers with influence over innovations need knowledge and understanding of how responsible innovation applies to their roles and how as individuals they can manage innovation responsibly. While the application of responsible innovation to these contexts faces a number of (...) practical and conceptual challenges, this chapter will focus on the contribution and potential of responsible management of innovation processes to provide economic and societal benefits. This chapter explores these issues through the perspective of individual managers, at the level of the organisation and finally at the level of the innovation system. (shrink)

In the current age there exists a widespread and extremely negative opinion of humankind held almost everywhere. The prevailing theory and application in all of science and religion holds that 'human perception is deeply flawed'. In all of the established religions of the world human kind is somehow seen as fallen and in need of a powerful intervention and 'saving' from our frail natures. In the scientific community our limitations require external proofs to substantiate our assertions about nature. There (...) lived a philosopher, 350 years ago, who understood us far better than this. His name was Baruch Spinoza. Under his own formidable power of understanding of life he recognized our actual merit and inestimable worth. He shared that understanding in a book titled, the "Ethics". In it he details; not only the nature of God as adequately conceived, but also the existence and structure and functions of the human mind. He also wrote a short treatise which has come to be called the 'Fragment'. From the outset of the piece he set out his goal for us; to recognize "...the knowledge of the union existing between the mind and the whole of nature". This 'Fragment' holds the key to unlocking the complexity of the "Ethics". This key consists in grasping the nature of reality which comes to each of us in the form of the 'idea'. The idea resides within each human mind and serves as the nexus where human understanding and the objects in our world co-habit. In this little pamphlet, first in a proposed series of six, together we will discuss and illustrate his discovery of the mind. Most important for you dear friend a challenge will be extended; to discover within you the existence and nature of your own mind and to learn to harness its near unlimited power to understand and to manage our environment and the future. It will prove a lifelong challenge to reach the point where we clearly understand and dutifully accept the responsibility which we owe to all of our ancestors and to those who will follow us to recognize the human mind as the most sublime of all the elements which have evolved on the planet. Sincerely, Charles M. Saunders. (shrink)

This article outlines links between cybernetics and psychology through the black box metaphor using a tripartite narrative. The first part explores first-order cybernetic approaches to opening the black box. These developments run parallel to the decline of radical behaviorism and advancements in information processing theory and neuropsychology. We then describe how cybernetics migrates towards a second-order approach (expanding and questioning features of first-order inquiry), understanding applications of rule-based tools to sociocultural phenomena and dynamic mental models, inspiring radical constructivism, and (...) also accepting social constructivism. Psychology, however, enters the cognitive revolution, adhering to the computer metaphor of first-order cyberneticians to streamline human consciousness. The article concludes by outlining how second-order cybernetic approaches emerging in the 1990s may provide cues to psychologists to adopt mixed methods, and bioecological models in the information age, uniting understandings of observable human activity, inner perceptions, and physiological processes across contexts to understand consciousness. (shrink)

How does one know one's own beliefs, intentions, and other attitudes? Many responses to this question are broadly empiricist, in that they take self-knowledge to be epistemically based in empirical justification or warrant. Empiricism about self-knowledge faces an influential objection: that it portrays us as mere observers of a passing cognitive show, and neglects the fact that believing and intending are things we do, for reasons. According to the competing, agentialist conception of self-knowledge, our capacity for self- (...) class='Hi'>knowledge derives from our rational agency—our ability to conform our attitudes to our reasons, and to commit ourselves to those attitudes through avowals. This paper has two goals. The first is exegetical: to identify agentialism's defining thesis and precisely formulate the agentialist challenge to empiricism. The second goal is to defend empiricism from the agentialist challenge. I propose a way to understand the role of agency in reasoning and avowals, one that does justice to what is distinctive about these phenomena yet is compatible with empiricism about self-knowledge. (shrink)

Integrating the concept of place meanings into protected area management has been difficult. Across a diverse body of social science literature, challenges in the conceptualization and application of place meanings continue to exist. However, focusing on relationships in the context of participatory planning and management allows protected area managers to bring place meanings into professional judgment and practice. This paper builds on work that has outlined objectives and recommendations for bringing place meanings, relationships, and lived experiences to the forefront (...) of land-use planning and management. It proposes the next steps in accounting for people’s relationships with protected areas and their relationships with protected area managers. Our goals are to 1) conceptualize this relationship framework; 2) present a structure for application of the framework; and 3) demonstrate the application in a specific protected area context, using an example from Alaska. We identify three key target areas of information and knowledge that managers will need to sustain quality relationship outcomes at protected areas. These targets are recording stories or narratives, monitoring public trust in management, and identifying and prioritizing threats to relationships. The structure needed to apply this relationship-focused approach requires documenting and following individual relationships with protected areas in multiple ways. The goal of this application is not to predict relationships, but instead to gain a deeper understanding of how and why relationships develop and change over time. By documenting narratives of individuals, managers can understand how relationships evolve over time and the role they play in individual’s lives. By understanding public trust, the shared values and goals of individuals and managers can be observed. By identifying and prioritizing threats, managers can pursue efforts that steward relationships while allowing for the protection of experiences and meanings. The collection and interpretation of these three information targets can then be integrated and implemented within planning and management strategies to achieve outcomes that are beneficial for resource protection, visitor experiences, and stakeholder engagement. By investing in this approach, agencies will gain greater understanding and usable knowledge towards the achievement of quality relationships. It represents an investment in both place relationships and public relations. By integrating such an approach into planning and management, protected area managers can represent the greatest diversity of individual place meanings and connections. relationships, place meanings, trust, narratives, planning, protected areas. (shrink)