Purpose A mixed-method study was performed to determine the impact of integrating systems thinking (ST) into an electronic learning module for junior high school teachers in the Philippines. The study aims to assess how an ST approach to pedagogy compared against a conventional approach in terms of contribution to the participants’ global climate change content knowledge, holistic thinking and depth and accuracy of knowledge and reasoning. -/- Design/methodology/approach The study implemented e-learning modules using an ST approach versus (...) a conventional approach in teaching climate science to junior high school teachers. The paper presents quantitative data obtained from pre and posttests results of the 20 teacher-participants and qualitative data obtained during the focus-group discussion (FGD) after the implementation of the study. -/- Findings The results from the statistical analysis indicated that the ST group obtained a significant increase in their assessment scores compared to the non-ST group, according to predetermined criteria. Content knowledge, depth and accuracy of knowledge and reasoning increased the most. The participants mentioned during the FGD that the module helped deepen their understanding of climate change. -/- Research limitations/implications The study was limited to 20 teacher-participants, but it has relevance for public school teachers in the country given that participants had raised concerns regarding the lack of training in their schools for teaching climate science. They admitted that they lacked critical information to include in climate change topics in their classes. -/- Originality/value This paper shows how the ST approach can be used to teach climate change to junior high students. The e-learning module can provide teachers with better understanding, knowledge and reasoning to teach climate change to high school students more effectively. (shrink)

Models are being used extensively for practicing and understanding scientific, engineering and mathematical subjects, but are rarely used as art analyzing tools, particularly, in learning environments. Contrarily, using art to explain mathematical ideas is not unprecedented. Strogatz (1988), for example, built a model based on Romeo and Juliet’s love story and used it to explain the idea of differential mathematics, and system dynamics. Artwork, specially written and plastic classics, is a fixed form of art. We frame them and put them (...) in a gallery, or a book (digital or physical). We don’t try to “fix” them or optimize their functioning, we analyze them to find meaning, intention, and patterns. In this article, we aim to show how, by building models combined with simple mathematical representations and analogies, it is possible to understand literary texts, from the prism of system and complexity theories, which emphasize the dynamic, non-linear, and non-reductionist aspects of the observed. We’ll demonstrate how modeling processes of three cultural assets, allow active correspondence with the original textual art, by treating them as systemic objects with interactions and dynamics. They will be analyzed while raising questions about the significance of modeling as a cognitive learning process. (shrink)

A large body of evidence suggests that the Personalized System of Instruction (PSI) improves learning. In courses that use PSI, the material is divided into units, students must pass a test on each unit before advancing to the next unit, there’s no group-level instruction, and students advance in the course at their own pace. While studies find that PSI improves learning outcomes in a wide range of settings, researchers haven’t studied the effectiveness of PSI in critical thinking classes. In (...) this paper, I argue that teaching critical thinking with PSI can effectively promote critical thinking skills. I describe a course that uses PSI to teach critical thinking and I present evidence from pre- and post-tests that indicates that students substantially improved their reasoning skills in this course. I also discuss the costs and drawbacks of using this method of instruction and consider ways of addressing these problems. (shrink)

Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and (...) the limits of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socio-economic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum. (shrink)

Most engineers Fwork within social structures governing and governed by a set of values that primarily emphasise economic concerns. The majority of innovations derive from these loci. Given the effects of these innovations on various communities, it is imperative that the values they embody are aligned with those societies. Like other transformative technologies, artificial intelligence systems can be designed by a single organisation but be diffused globally, demonstrating impacts over time. This paper argues that in order to design for (...) this broad stakeholder group, engineers must adopt a systems thinking approach that allows them to understand the sociotechnicity of artificial intelligence systems across sociocultural domains. It claims that value sensitive design, and envisioning cards in particular, provides a solid first step towards helping designers harmonise human values, understood across spatiotemporal boundaries, with economic values, rather than the former coming at the opportunity cost of the latter. (shrink)

The Soul is considered, both for religions and philosophy, to be the immaterial aspect or essence of a human being, conferring individuality and humanity, often considered to be synonymous with the mind or the self. For most theologies, the Soul is further defined as that part of the individual, which partakes of divinity and transcends the body in different explanations. But, regardless of the philosophical background in which a specific theology gives the transcendence of the soul as the source of (...) its everlasting essence – often considered to survive the death of the body –, it is always appraised as a higher existence for which all should fight for. In this regard, all religious beliefs assert that there are many unseen battles aiming to take hold of the human soul, either between divinity and evil, or between worlds, or even between the body and the soul itself. These unseen battles over the human soul raging in the whole world made it the central item of the entire universe, both for the visible and the unseen worlds, an item of which whoever takes possession will also become the ruler of the universe. Through this philosophy, the value of the soul became abysmal, incommensurable, and without resemblance. The point for making such a broad overview of the soul in religious beliefs is the question of whether we can build an interfaith discourse based on the religions’ most debated and valuable issue, soul? Regardless of the variety of religious beliefs on what seems to be the soul, there is always a residual consideration in them that makes the soul more important than the body. This universal impression is due to another belief or instead need of believing that above and beyond this seen, palpable, finite life and the world should exist another one, infinite, transcendent, and available all the same after here. This variety stretches from the minimum impact that soul has on the body, as being the superior essence that inhabitants and enlivens the matter, to the highest impact in which soul has nothing to do with matter[1] and is only ephemeral linked to it, but its existence is not at all limited, defined or depended on the matter [2], or even placed to the extreme, as the very life of the matter thus this seen universe is merely a thought in the soul/mind [3]. In this extensive variety of soul overviews, the emphasis of the soul’s importance gives an inverse significance to the body/matter, from being everything that matters to a thin, dwindle item that has no existence at all outside consciousness. (shrink)

Human cognition is extended and enacted. Drawing the boundaries of cognition to include the resources and attributes of the body and materiality allows an examination of how these components interact with the brain as a system, especially over cultural and evolutionary spans of time. Literacy and numeracy provide examples of multigenerational, incremental change in both psychological functioning and material forms. Though we think materiality, its central role in human cognition is often unappreciated, for reasons that include conceptual distribution over multiple (...) material forms, the unconscious transparency of cognitive activity in general, and the different temporalities of metaplastic change in neurons and cultural forms. (shrink)

The declaration of the COVID-19 pandemic by the World Health Organization on March 11, 2020, led to unprecedented events. All regions of the world participated in implementing preventive health measures such as physical distancing, travel restrictions, self-isolation, quarantines, and facility closures. The pandemic started global disruption of socio-economic systems, covering the postponement or cancellation of public events, supply shortages, schools and universities’ closure, evacuation of foreign citizens, a rise in unemployment and inflation, misinformation, the anti-vaccine movement, and incidents of (...) discrimination toward people affected by or suspected of having coronavirus disease. Attempts have been made to protect the oldest age group at risk, but in many cases, this has led to over-restriction and age discrimination. The rationale for working on the Research Topic "Socio-economic systems in the post-pandemic world: Design thinking, strategic planning, management, and public policy" was the need to start reflecting on resilience and lessons learned from this public health event that revealed the global unpreparedness in critical areas. Also, the pandemic triggered both top-down and bottom-up responses that needed more in-depth analyzes. This Research Topic covers interdisciplinary contributions addressing new thinking, challenges, and transformations required for post-pandemic global, national, regional, and local realities. The presented Research Topic combines studies focused on recognizing the actions and interventions leading to the recovery of socio-economic systems during the tail end and after the pandemic. The studies delivered recommendations regarding, among others, the care of vulnerable, planning socio-economic restart, and imagining the "new normal.". (shrink)

This chapter introduces a research-based conceptual framework for the study of the inner psychosocial reality of business enterprises. It is called the Inner Organizational Ecosystem Approach (IOEA). This model is systemic in nature, and it defines the basic features of small and medium-size enterprises, such as elements, structures, borders, social actors, organizational climate, processes and resources. Further, it also covers the dynamics of psychosocial reality, processes, emergent qualities and the higher-order subsystems of the overall organizational ecosystem, including the global business (...) environment, which is understood as a macro-system where all the individual organizational ecosystems co-exist. In the applied part of the chapter, cognitive changes emerging within systemic leadership training are defined. Participation in systemic training causes changes in the cognitive processing of reality, more specifically improvements in layer-based framing, relativistic contextual orientation, temporality drift and meaning generation. All of these changes are components of the systemic mind, which is a concept newly proposed and defined by the present study. The systemic mind is a living matrix that is extremely open to acquiring new skills and new patterns of thinking, analyzing and meaning generation. It is processual and it can be considered as an ongoing process of continuous absorption of new cognitive patterns. Both the Inner Organizational Ecosystem Approach and the concept of the systemic mind provide a new theoretical background for empirical investigation in the fields of systemic and systems psychology, complexity psychology, organizational psychology, economic anthropology and the social anthropology of work. (shrink)

On 11 March 2020, the World Health Organization declared a pandemic of the COVID-19 coronavirus disease that was first recognized in China in late 2019. Among the primary effects caused by the pandemic, there was the dissemination of health preventive measures such as physical distancing, travel restrictions, self-isolation, quarantines, and facility closures. This includes the global disruption of socio-economic systems including the postponement or cancellation of various public events (e.g., sporting, cultural, or religious), supply shortages and fears of the (...) same, schools and universities closure, evacuation of foreign citizens, a rise of unemployment, changes in the international aid schemes, misinformation, and incidents of discrimination toward people affected by or suspected of having the COVID-19 disease. The pandemic has brought to the fore unpreparedness in critical areas that require attention, amid prospects and challenges. Moreover, considerable reorganization efforts are required with implications for assets, resources, norms, and value systems. COVID-19 is challenging the concept of globalization and stimulating responses at the levels of local and regional socio-economic systems that lead to the mobilization of assets that have been unrecognized earlier on, such as various forms of economic capital, social capital, cultural capital, human capital, and creative capital. For example, through digital channels, local groups are forming to create schemes of support for physical and mental wellbeing. These emerging exchanges lead to various social and technological innovations by building on skills and assets that are less important in the free-market economy, such as empathy, skills for crafts, making and fixing; locally grown microgreens; and micromanufacturing. Isolation and local living are also making it much harder to ignore the civic responsibilities towards communities, meant as individuals, vulnerable groups, and local businesses. Whilst the pandemic is limiting physical participation, this challenging time is uncovering alternative ways of mutual support, which may create long-term benefits for socio-economic systems, including environmental and biodiversity protection, reduction of the air pollution, and climate action. The pandemic’s threat to public health will hopefully be overcome with implications for disruption for an extended period that we are unable to forecast at this stage. It is key to focus on studies recognizing the activities and interventions leading to the recovery of socio-economic systems after the pandemic. Reflecting and planning on how societies and economies will go back to “business as usual” requires new forms of communication and cooperation, imaginative design thinking, new styles of management, as well as new tools and forms of participation in various public policies. Many questions related to the care of the vulnerable, economic restart, and the risk of future pandemics, to mention but a few, are already occupying the academic, scientific, experts, and activist communities, who have started to imagine the “new normal.”. (shrink)

The paper portrays the influence of major philosophical ideas on the 1935 debates on quantum theory that reached their climax in the paper by Einstein, Podosky and Rosen, and describes the relevance of these ideas to the vast impact of the paper. I claim that the focus on realism in many common descriptions of the debate misses important aspects both of Einstein's and Bohr's thinking. I suggest an alternative understanding of Einstein's criticism of quantum mechanics as a manifestation of (...) the same methodological principles that served him in the construction of the special and the general theories of relativity. These principles address, in a very specific way, the relation of the theoretical mathematical representations to the represented physical systems. These ideas, I claim, played a key role in the influence of the paper on later works that changed our understanding of quantum theory despite the rejection of EPR's central conclusion. (shrink)

In October 2011, the “2nd European Network for Cognitive Systems, Robotics and Interaction”, EUCogII, held its meeting in Groningen on “Autonomous activity in real-world environments”, organized by Tjeerd Andringa and myself. This is a brief personal report on why we thought autonomy in real-world environments is central for cognitive systems research and what I think I learned about it. --- The theses that crystallized are that a) autonomy is a relative property and a matter of degree, b) increasing (...) autonomy of an artificial system from its makers and users is a necessary feature of increasingly intelligent systems that can deal with the real-world and c) more such autonomy means less control but at the same time improved interaction with the system. (shrink)

[File is the introduction to the monograph] -/- Abstract to monograph -/- How and whether thinking affects perceiving is a deeply important question. Of course it is of scientific interest: to understand the human mind is to understand how we best distinguish its processes, how those processes interact, and what this implies for how and what we may know about the world. And so in the philosopher’s terms, this book is one on both mental architecture and the epistemology of (...) perception. But there is a more human interest. How we make contact with the world, and with one another, is of the most basic of importance. We can make both sensory contact and cognitive contact with the world. The first is traditionally supposed to be determined by the biological nature of our sensory systems, while the second is at least partly determined by us, what we have learned, our experiences, and so on. The most basic claim of the book is that this is mistaken and importantly so. Our sensory contact with the world can also change and in a way that is importantly affected by the cognitive contact that we have, or have had, with the world. Thinking does not just affect perceiving, thinking improves perceiving. If this is true, it changes not only how we should theorize the mind, it changes how we should understand, as individuals, our place in and contact with the world. (shrink)

Commentators almost universally agree that Locke denies the possibility of thinking matter in Book IV Chapter 10 of the Essay. Further, they argue that Locke must do this in order for his proof of God’s existence in the chapter to be successful. This paper disputes these claims and develops an interpretation according to which Locke allows for the possibility that a system of matter could think (even prior to any act of superaddition on God’s part). In addition, the paper (...) argues that this does not destroy Locke’s argument in the chapter, instead it helps to illuminate the nature of it. The paper proceeds in two main stages. First, Locke denies that matter can produce thought. A distinction between two senses of “production” shows that this claim is compatible with the existence of thinking matter. Second, Locke denies that God could be a system of randomly moving particles. Most commentators take this to mean that such a system could not think. But Locke is better interpreted as denying that such a system could have the wisdom and knowledge of God. (shrink)

With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task demands (...) of system identification and system control can be realised in these environments, and how psychometrically acceptable dependent variables can be derived. (shrink)

To explore the question of physical thinking – using the body as an instrument of cognition – we collected extensive video and interview data on the creative process of a noted choreographer and his company as they made a new dance. A striking case of physical thinking is found in the phenomenon of marking. Marking refers to dancing a phrase in a less than complete manner. Dancers mark to save energy. But they also mark to explore the tempo (...) of a phrase, or its movement sequence, or the intention behind it. Because of its representational nature, marking can serve as a vehicle for thought. Importantly, this vehicle is less complex than the version of the same phrase danced ‘full-out’. After providing evidence for distinguishing different types of marking, three ways of understanding marking as a form of thought are considered: marking as a gestural language for encoding aspects of a target movement, marking as a method of priming neural systems involved in the target movement, and marking as a method for improving the precision of mentally projecting aspects of the target. (shrink)

When we speak of language we usually use the concept of a particular language. In this sense the concept denoted with the word language may vary from one language to another. Real language (=the language spoken) on the contrary is the reality lived by speakers thus encompassing complex and multifarious activities. Depending on the language spoken, the modes of thinking, modes of being in the conception of things, and systems of beliefs transmitted by means of particular languages, denote (...) the living reality of language with different grammatical categories. The concept “language” is expressed sometimes with a noun, thus denoting something existing in it; sometimes with a verb, thus denoting an action or an activity; and sometimes with an adverb, thus denoting the mode of an activity. The reality or degree of reality implicit in these grammatical categories involves a particular mode of thinking, prompted with a particular mode of being in the conception of things. Because of this it is necessary to distinguish the concept of language as something different from the reality of language. But first of all it is necessary to determine the reality or degree of reality of both the reality lived by speakers and the thing usually conceived of as language or a language. (shrink)

To continue the project of explicating Pacific values and worldviews, this paper focuses on correlative thinking in some of the cultural philosophies of the Pacific islands, especially Micronesia. Correlative thinking differs, in degree, from scientific and academic logic that emphasize the truth-value of statements. After examining aspects of correlative thinking in Bali and the Philippines, I extract some characteristics of Pacific philosophies from cultural practices, myths, and beliefs. Unlike William Alkire (Alkire, 1972), I find that Pacific islanders (...) use correlative thinking, not dualism, to fill their canoes and baskets of wisdom, so that they can navigate between contemporary logic or scientific thinking, and their cultural knowledge systems and ways of reasoning. (shrink)

“Critical thinking is one of the biggest hiatuses in our education system. Learning to distinguish sense from nonsense is of great importance in the information age that we live in. In a systematic way, this book helps you to gain insight into, and subsequently eliminate, the most important reasoning errors that we all tend to make. It also helps you to debunk weak and fallacious arguments and unreliable information. -/- In addition to understanding what critical and scientific thinking (...) entails, you will learn more about what makes science reliable. In times of skepticism regarding science, where (sometimes dangerous) pseudoscientific and conspiracy theories run rampant, this is particularly important. -/- Critical thinking is not a matter of intellectual preference or even self-interest (although one certainly benefits from thinking critically). It is first and foremost a matter of moral and social responsibility. Better thinking leads to a better world. With this book I hope to contribute to that important goal and you, dear student or reader, can do the same!” - Michael Vlerick -/- . (shrink)

Cheating is widely considered a condemnable behavior in society and a big problem in the educational system. In this study, we employ the information-processing-based Bayesian Mindsponge Framework to explore deeper the subjective cost-benefit evaluation involving the perceived value of cheating. Conducting Bayesian analysis on 493 university students from Germany, Vietnam, China, Taiwan, and Japan, we found that students who have more positive attitudes toward cheating are more likely to cheat. However, a higher capability of cognitive reflection acts as a moderator (...) that negates the above effect. Re-evaluation of prior thoughts allows for more accurate assessments of the associated risks and possible costs, which help reduce the probability of carrying out cheating behavior. As rapid technological advancement may introduce new and efficient cheating methods, a better understanding of the psychology of cheating in students can help schools prepare better countermeasures. (shrink)

Academia is a competitive environment. Early Career Researchers (ECRs) are limited in experience and resources and especially need achievements to secure and expand their careers. To help with these issues, this book offers a new approach for conducting research using the combination of mindsponge innovative thinking and Bayesian analytics. This is not just another analytics book. 1. A new perspective on psychological processes: Mindsponge is a novel approach for examining the human mind’s information processing mechanism. This conceptual framework is (...) used to construct models in studies. The framework is highly flexible and widely applicable for many different types of information processes. The mindsponge approach can help researchers discover interesting ideas or even formulate their very own theories when investigating psychosocial phenomena. This approach brings a fresh wind to the current landscape of social sciences and humanities (SSH). 2. Easy-to-follow analysis protocol: The Bayesian Mindsponge Framework (BMF analytics) is useful in terms of computing and visualizing power but also easy to learn and apply. Contrary to being intimidating, the Bayesian analytics section of this book is presented in a reader-friendly manner with a detailed yet clear step-by-step procedure. Examples are from published BMF articles, allowing readers to immediately practice the method and quickly create their own applications. With educational purposes in mind, the book is very suitable for ECRs who are looking to innovate their research methods. 3. Advocating for low-cost, high-quality research: Doing science can be very costly. Mindsponge innovative thinking and BMF analytics help produce impactful studies using openly available data on online repositories. This is based on the authors’ previous works and experiences. The book presents examples of employing the open R package bayesvl on secondary data from different sources. With less financial constraints, researchers can have more freedom of thought to pursue their curiosity and creativity. ECRs in low- and middle-income countries may find this aspect crucial in their careers. 4. Support and collaboration: The authors share their insights from experiences in the academic publishing system to help readers get through the processes of manuscript writing and peer-reviewing more easily. The authors are also ready to support other researchers with further inquiries and collaboration opportunities at the following website, mindsponge(dot)info. This book is for: a) ECRs whose only abundant resources are their innovation capacity and strength of will; b) Researchers in SSH who want to explore a novel approach to thinking and study conducting; c) Low- and middle-income countries’ researchers looking for a cost-effective research protocol; and, d) Innovative thinkers who want to turn their interesting thoughts into good publications. (shrink)

The purpose of cultural competence education for medical professionals is to ensure respectful care and reduce health disparities. Yet as Berger and Miller (2021) show, the cultural competence framework is dated, confused, and self-defeating. They argue that the framework ignores the primary driver of health disparities—systemic racism—and is apt to exacerbate rather than mitigate bias and ethnocentrism. They propose replacing cultural competence with a framework that attends to two social aspects of structural inequality: health and social policy, and institutional-system activity; (...) and two psychological aspects of structural inequality: the clinical encounter, and the epistemic. -/- We agree with the structural approach. To that end, we think it would be fruitful to include attention to physical contributors to structural inequality, namely the material artifacts used in medicine. Devices, tools, and technologies can materialize biases, perpetuate oppression, and contribute to health disparities. Granted, not everything that interests philosophers can be squeezed into medical education. Nevertheless, there are compelling reasons for including the study of material artifacts in education designed to reduce health disparities. First, devices and tools often carry forward biases from the past, and keep biases hidden from plain sight. Second, by studying these artifacts, future clinicians can begin to see themselves as part of a larger sociotechnical system. Finally, as medicine becomes increasingly tech-laden, it’s important for clinicians to see how material artifacts (including algorithms) connect individuals to structures. This will help to undermine oversimplified narratives according to which objective tools and technologies can correct for the bias and subjectivity of flawed human beings. (shrink)

Comprehensive when it was published in 1990, this guide brought together information on the broad spectrum of education and research opportunities then available in the sciences of complexity. Its purpose was to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide was intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in (...) systems thinking and complex systems research. The guide also served professionals who are already involved in the systems sciences as a directory to general activity in what are otherwise widely separate fields. By browsing the guide one can get a snapshot of where education and research in systems science was happening at the time in both North America and Europe. The landscape has since massively changed so its value is mostly historical. (shrink)

Introduction: representationalismMost theorists of cognition endorse some version of representationalism, which I will understand as the view that the human mind is an information-using system, and that human cognitive capacities are representational capacities. Of course, notions such as ‘representation’ and ‘information-using’ are terms of art that require explication. As a first pass, representations are “mediating states of an intelligent system that carry information” (Markman and Dietrich 2001, p. 471). They have two important features: (1) they are physically realized, and so (...) have causal powers; (2) they are intentional, in other words, they have meaning or representational content. This presumes a distinction between a representational vehicle—a physical state or structure that has causal powers and is responsible for producing behavior—and its content. Consider the following characterization of a device that computes the addition functionReaders will recognize the similarity t. (shrink)

Can AI systems such as ChatGPT think? We present an argument from rationality for the negative answer to this question. The argument is founded on two central ideas. The first is that if ChatGPT thinks, it is not rational, in the sense that it does not respond correctly to its evidence. The second idea, which appears in several different forms in philosophical literature, is that thinkers are by their nature rational. Putting the two ideas together yields the result that (...) ChatGPT is not a thinker. The paper sets out the argument in detail and shows how it can withstand numerous objections. We end the paper by contrasting the argument from rationality with a more well-known argument often taken to show that ChatGPT doesn’t think, due to Bender and Koller. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

Multiple Authors - please see paper attached. -/- AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life. However, we are still mostly seeing instances of narrow AI: many of these recent developments are typically focused on a very limited set of competencies and goals, e.g., image interpretation, natural language processing, classification, prediction, and many others. We argue that a better study of the mechanisms that allow humans to have these capabilities can (...) help us understand how to imbue AI systems with these competencies. We focus especially on D. Kahneman’s theory of thinking fast and slow , and we propose a multi-agent AI architecture (called SOFAI, for SlOw and Fast AI) where incoming problems are solved by either system 1 (or "fast") agents (also called "solvers"), that react by exploiting only past experience, or by system 2 (or "slow") agents, that are deliberately activated when there is the need to reason and search for optimal solutions beyond what is expected from the system 1 agent. (shrink)

The significance and potential of systems theory and complexity theory are best appreciated through an understanding of their origins. Arguably, their originator was the Russian philosopher and revolutionary, Aleksandr Bogdanov. Bogdanov anticipated later developments of systems theory and complexity theory in his efforts to lay the foundations for a new, post-capitalist culture and science. This science would overcome the division between the natural and the human sciences and enable workers to organize themselves and their productive activity. It would (...) be central to the culture of a society in which class and gender divisions have been transcended. At the same time it would free people from the deformed thinking of class societies, enabling them to appreciate both the limitations and the significance of their environments and other forms of life. In this paper it is argued that whatever Bogdanov's limitations, such a science is still required if we are to create a society free of class divisions, and that it is in this light that developments in systems theory and complexity theory should be judged. (shrink)

Main principles of the complex nonlinear thinking which are based on the notions of the modern theory of evolution and self-organization of complex systems called also synergetics are under discussion in this article. The principles are transdisciplinary, holistic, and oriented to a human being. The notions of system complexity, nonlinearity of evolution, creative chaos, space-time definiteness of structure-attractors of evolution, resonant influences, nonlinear and soft management are here of great importance. In this connection, a prominent contribution made to (...) system analysis and to a necessary reform of education and thinking by Edgar Morin is considered. (shrink)

A. Newell and H. A. Simon were two of the most influential scientists in the emerging field of artificial intelligence (AI) in the late 1950s through to the early 1990s. This paper reviews their crucial contribution to this field, namely to symbolic AI. This contribution was constituted mostly by their quest for the implementation of general intelligence and (commonsense) knowledge in artificial thinking or reasoning artifacts, a project they shared with many other scientists but that in their case was (...) theoretically based on the idiosyncratic notions of symbol systems and the representational abilities they give rise to, in particular with respect to knowledge. While focusing on the period 1956-1982, this review cites both earlier and later literature and it attempts to make visible their potential relevance to today's greatest unifying AI challenge, to wit, the design of wholly autonomous artificial agents (a.k.a. robots) that are not only rational and ethical, but also self-conscious. (shrink)

An aesthetic and epistemological departure from ocular centrism has occurred in the wake of current technological evolutions and the posthuman turn. The sonic exploration of the more-than-human takes artists and philosophers beyond anthropomorphism to reveal the hidden patterning of life forms and yet-unfathomed universes. The conflation of nature with culture is one shift that takes place when thinking with sounds and rhythm and studying our environments. On an ontological level, a reordering of subject and object occurs when encountering the (...) reciprocal relationship of sounding. What if culture is actually nature? How does technology connect with botany, and what does it mean to engage the environment with the expanded tactility of the ear? This essay observes current inter-species practices in sound art by revisiting philosopher Susanne Langer’s theory of an embodied and embedded mind. Her “new key” in philosophy emphasizes music as a dynamic sound-pattern to conceptualize a semiology of artistic forms that renders human feeling in regard to non-human antecedents. This serves as a tool to trace the preconceptual substrata of mind, leading us through process-oriented studies of nature and psychophysical affect. Thinking with Langer involves the interconnection of natural systems, behavioural patterns, and human expression, which emerges in art. (shrink)

Sustainability is commonly recognized as an important goal, but there is little agreement on what sustainability is, or what it requires. This paper looks at some common approaches to sustainability, and while acknowledging the ways in which they are useful, points out an important lacuna: that for something to be sustainable, people must be willing to work to sustain it. The paper presents a framework for thinking about and assessing sustainability which highlights people working to sustain. It also briefly (...) discusses Integrated Water Resource Management and the example of the California Water Plan to explore what such a perspective brings that is overlooked in other approaches, and how this approach might be pursued. Ultimately, this framework argues that a system can only be described as sustainable if people’s work to sustain the system is biophysically possible, socially possible, and if people would freely choose to do the sustaining work. -/- Read More: http://ascelibrary.org.proxy1.cl.msu.edu/doi/abs/10.1061/%28ASCE%29WR.1943-5452.0000526. (shrink)

The practicability of the comprehensive FSR concept is problematic. Contemporary FSR must be positioned at the point of overlap between the positivist and constructivist paradigms, which are both grounded in a continual identification with the rational-empirical consciousness, in thinking -being.Spirituality, defined as the process in which one systematically trains the receptivity to gain regular access to transcendental consciousness, emphasizes the experience of just being, of consciousness-as-such. It is an experiential spirituality, which is not based on dogmas, but on do-it-yourself (...) techniques to break the continuous spell of the rational-empirical consciousness. Such a spirituality facilitates the cultivation of societally and environmentally friendly behavior. Sustainability can be defined as the integrative 'emergent property' of experiential spirituality and rational morality based on negotiated agreements.In addition to the outward-oriented approaches of the positivist and constructivist paradigms, an inward-oriented approach, focusing on consciousness development, is recommended. Language-mediated interaction must be supported by consciousness-mediated interaction. (shrink)

Cushman, Young, & Greene (2010) urge the consolidation of moral psychology around a dual-system consensus. On this view, a slow, often-overstretched rational system tends to produce consequentialist intuitions and action-tendencies, while a fast, affective system produces virtuous (or vicious) intuitions and action-tendencies that perform well in their habituated ecological niche but sometimes disastrously outside of it. This perspective suggests a habit-corrected-by-reason picture of moral behavior. Recent research, however, has raised questions about the adequacy of dual-process theories of cognition and behavior, (...) which tend to distinguish categorically between fast, affect-laden, automatic, sometimes-unconscious, nearly-incorrigible mental processes and slow, rational, effortful, conscious, corrigible mental processes. Processes of one alleged type often have properties associated with the contrary type. For instance, rational processes can be emotional, and fast thinking can perform logical operations. In addition, the fast-slow binary transforms a continuous temporal scale into a dichotomous one, losing potentially important information along the way. While these problems are beginning to be addressed in some subfields of psychology, moral psychology has yet to grapple with them. In this theoretical paper, we argue that moral psychology needs a framework that accounts for our knowledge of both temporal and spatial (anatomical) dimensions of the brain basis of moral cognition and virtuous decision-making. We argue that methodologies with very fine-grained temporal granularity, such as electroencephalography (EEG), should be used to complement more frequently used methodologies such as functional magnetic resonance imaging (fMRI). We outline how this might be accomplished using generosity, gratitude, and integrity as a case study. (shrink)

We present a framework for epistemic logic, modeling the logical aspects of System 1 and System 2 cognitive processes, as per dual process theories of reasoning. The framework combines non-normal worlds semantics with the techniques of Dynamic Epistemic Logic. It models non-logically-omniscient, but moderately rational agents: their System 1 makes fast sense of incoming information by integrating it on the basis of their background knowledge and beliefs. Their System 2 allows them to slowly, step-wise unpack some of the logical consequences (...) of such knowledge and beliefs, by paying a cognitive cost. The framework is applied to three instances of limited rationality, widely discussed in cognitive psychology: Stereotypical Thinking, the Framing Effect, and the Anchoring Effect. (shrink)

Vuong proposes an idea contrary to the mainstream view of “perfect peer review”. That is supporting young researchers to peer-review and edit journal submissions as a way of training and creating positive changes and continual innovations for the publishing systems. He took Albert Einstein and Isaac Newton – two great people that made breakthroughs in science in their twenties – and his experiences of training mentees as examples demonstrating the potential that ECRs can create.

A close reading of Peirce’s pragmatic maxim shows a correlation between meaning and purpose. If the meaning of a concept, proposition or hypothesis is clarified by formulating its practical effects, those also can be articulated as practical maxims. To the extent that the hypotheses or propositions upon which they are based are true, practical maxims recommend reliable courses of action. This can be translated into a broader claim of an integral relation between semiosis and goal-directed or teleological systems. Any (...) goal-directed system, to be propagating, must be capable of coordinating the information in its internal or endergonic processes with exergonic information found in its environment. Signs are critical links between these two sources of information and must also serve as steering mechanisms for that system as well. If signs detected or represented information in the environments without using that information to steer the system, it would have no practical effect on the system; conversely, if a system could steer itself, but had no representation of exergonic information, it would fail to be propagating. Obviously, to get food, it must not only find it, but must also use that information to direct its behavior in a manner that makes use of that food. Using concepts found in complex systems and modern information theory, it is argued that this analysis requires a distinction between information and meaning. The result of this investigation is the claim that meaning can be understood as the propagating work of information. The remainder of the paper follows some of the ramification of this analysis for Peirce’s semiotic theory. (shrink)

We suggest that there is confusion between why consciousness developed and what additional functions, through continued evolution, it has co-opted. Consider episodic memory. If we believe that episodic memory evolved solely to accurately represent past events, it seems like a terrible system—prone to forgetting and false memories. However, if we believe that episodic memory developed to flexibly and creatively combine and rearrange memories of prior events in order to plan for the future, then it is quite a good system. We (...) argue that consciousness originally developed as part of the episodic memory system—quite likely the part needed to accomplish that flexible recombining of information. We posit further that consciousness was subsequently co-opted to produce other functions that are not directly relevant to memory per se, such as problem-solving, abstract thinking, and language. We suggest that this theory is compatible with many phenomena, such as the slow speed and the after-the-fact order of consciousness, that cannot be explained well by other theories. We believe that our theory may have profound implications for understanding intentional action and consciousness in general. Moreover, we suggest that episodic memory and its associated memory systems of sensory, working, and semantic memory as a whole ought to be considered together as the conscious memory system in that they, together, give rise to the phenomenon of consciousness. Lastly, we suggest that the cerebral cortex is the part of the brain that makes consciousness possible, and that every cortical region contributes to this conscious memory system. (shrink)

This paper presents the unification of all knowledge and the framework of all sciences, so it goes the theory of consciousness, the method to measure consciousness, and the three keys of the Strong AI. “Logicality and non-absoluteness” is found out to be the intrinsicality of nature, so the “Fundamental Law of Nature” is discovered. Then, the “general methodology of research” and the “model system of nature” are developed to explain everything, especially consciousness. The Coupling Theory of Consciousness tells that nature (...) has the MFEs (More Fundamental Element) that couple to show as material and consciousness, and the brain has a CNS (central nervous system)-independent consciousness system that couples to give off the consciousness signals, with their three excitation levels to show as memory, sub-consciousness, and subjective consciousness. As consciousness is not from neurons, the method to measure consciousness via NCC (neural correlates of consciousness) is to find out participants with the same kinds of consciousness systems. And make them to produce paralleled “conscious information processes” to filtrate out the “noise” neural activities, to obtain the “real” NCC data. Examining the property of consciousness may advance not only neuroscience and physics, but also cognitive science and AI technology. First, the “conscious information processing” model has shown that the Strong AI should process the beyond-domain concepts with a self-controlled intention, second, as the “general methodology of research” is just the other name of the “principle of cognition”, we have already known the running style of the Strong AI. Hopefully, we could develop the Strong AI technology to upgrade human civilization very soon. (shrink)

This dissertation explores and argues for the import of the imagination (Phantasie) in Edmund Husserl's phenomenological method of inquiry. It contends that Husserl's extensive analyses of the imagination influenced how he came to conceive the phenomenological method throughout the main stages of his philosophical career. The work clarifies Husserl's complex method of investigation by considering the role of the imagination in his main methodological apparatuses: the phenomenological, eidetic, and transcendental reductions, and eidetic variation - all of which remained ambiguous despite (...) his extensive programmatic discussions. The work illuminates and clarifies aspects of the Husserlian phenomenological method never before explored. -/- In order to clarify Husserl's eidetic method of inquiry, I propose a new way of thinking about the imagination - as direct intuitive presentation (eigentliche anschauliche Vorstellung) and as horizonal-nexic level of consciousness exhibiting the neutrality, freedom, and possibility as its essential features. Following Husserl's studies of the imagination, I propose a three-level model of consciousness (realizing, imagining, and eidetic) and explore the dynamic flexibility of each level (as horizon within which acts such as judgments or memories can unfold). This model of consciousness allows for a rethinking of the sources and conditions for the possibility of eidetic phenomenological inquiry - topics Husserl was mostly silent about. -/- Through a rethinking of the model of consciousness, I propose a tight and substantial relationship between the natural (everyday) and artificial (methodological, theoretical) attitudes. I argue that the structure and systems of possibilities pertaining to the artificial attitude - i.e., our actual as well as possible methodological tools - are structurally and well as informationally bound to the structure and system of possibilities pertaining to the natural attitude. In order to explore the nature of the relationship between these two attitudes I argue that we must take a closer look at the structure and abilities of imagining consciousness - the sole nexic-horizonal level that can function both naturally and artificially. This insight regarding the nature of consciousness clarifies Husserl's transcendental idealism in its intimate connection to the everyday. Understanding Husserl's philosophical stance is thus purged of all possibility of mistakenly labeling it as entailing immanent detachment, solipsism, or Platonic idealism. (shrink)

Organisations are computing systems. The university’s sports centre is a computing system for managing sports teams and facilities. The tenure committee is a computing system for assigning tenure status. Despite an increasing number of publications in group ontology, the computational nature of organisations has not been recognised. The present paper is the first in this debate to propose a theory of organisations as groups structured for computing. I begin by describing the current situation in group ontology and by spelling (...) out the thesis in more detail. I then present the example of a sports centre to illustrate why one might intuitively think of organisations as computing systems. To substantiate the thesis, I introduce Piccinini’s restrictive analysis of physical computation. As I show, organisations meet all criteria for being computing systems. Organisations are structured groups with the function of manipulating medium-independent vehicles according to rules. Furthermore, I argue for the modal claim that this is a necessary feature of organisations. Having sketched the computational account of organisations, I compare it to other proposals in the literature. (shrink)

As so often in philosophy, the title not only lays down the battle line but exposes the author’s biases and mistakes, since whether or not we can make sense of the language game ‘Seeing things as they are’ and whether it’s possible to have a ‘philosophical’ ‘theory of perception’ (which can only be about how the language of perception works), as opposed to a scientific one, which is a theory about how the brain works, are exactly the issues. This is (...) classic Searle—superb and probably at least as good as anyone else can produce, but lacking a full understanding of the fundamental insights of the later Wittgenstein and with no grasp of the two systems of thought framework, which could have made it brilliant. As in his previous work, Searle largely avoids scientism but there are frequent lapses and he does not grasp that the issues are always about language games, a failing he shares with nearly everyone. After providing a framework consisting of a Table of Intentionality based on the two systems of thought and thinking and decision research, I give a detailed analysis of the book. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019). (shrink)

“Could a machine think?” asks John R. Searle in his paper Minds, Brains, and Programs. He answers that “only a machine could think1, and only very special kinds of machines, namely brains.”2 The subject of this paper is the analysis of the aforementioned question through presentation of the symbol manipulation approach to intelligence and Searle's well-known criticism to this approach, namely the Chinese room argument. The examination of these issues leads to the systems reply of the Chinese room argument (...) and tries to illustrate that Searle's response to the systems reply does not detract from the symbol manipulation approach. (shrink)

Functionalism would be mistaken if there existed a system of deviant relations (an “anti-mind”) that had the same functional roles as the standard mental relations. In this paper such a system is constructed, using “Quinean transformations” of the sort associated with Quine’s thesis of the indeterminacy of translation. For example, a mapping m from particularistic propositions (e.g., that there exists a rabbit) to universalistic propositions (that rabbithood is manifested). Using m, a deviant relation thinking* is defined: x thinks* p (...) iff x thinks m(p). Such deviant relations satisfy the commonly discussed functionalist psychological principles. Finally, a more complicated system of deviant relations is constructed, one satisfying sophisticated principles dealing with the self-conscious rational mind. (shrink)

Critical in the computationalist account of the mind is the phenomenon called computational or computer simulation of human thinking, which is used to establish the theses that human thinking is a computational process and that computing machines are thinking systems. Accordingly, if human thinking can be simulated computationally then human thinking is a computational process; and if human thinking is a computational process then its computational simulation is itself a thinking process. This (...) paper shows that the said phenomenon—the computational simulation of human thinking—is ill-conceived, and that, as a consequence, the theses that it intends to establish are problematic. It is argued that what is simulated computationally is not human thinking as such but merely its behavioral manifestations; and that a computational simulation of these behavioral manifestations does not necessarily establish that human thinking is computational, as it is logically possible for a non-computational system to exhibit behaviors that lend themselves to a computational simulation. (shrink)

Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this talk, we discuss the different paradigms that have been developed in AI and Computational Cognitive Science to deal with this problem (ranging from logic-based methods, to diagrammatic-based ones). In particular, we discuss - via two different case studies concerning commonsense categorization and knowledge (...) invention tasks - how cognitively inspired heuristics can help (both in terms of efficiency and efficacy) in the realization of intelligent artificial systems able to reason in a human-like fashion, with results comparable to human-level performances. (shrink)

In this paper I’ll examine whether we could be justified in attributing consciousness to artificial intelligent systems. First, I’ll give a brief history of the concept of artificial intelligence (AI) and get clear on the terms I’ll be using. Second, I’ll briefly review the kinds of AI programs on offer today, identifying which research program I think provides the best candidate for machine consciousness. Lastly, I’ll consider the three most plausible ways of knowing whether a machine is conscious: (1) (...) an AI demonstrates a sufficient level of organizational similarity to that of a human thinker, (2) an inference to the best explanation, and (3) what I call “punting to panpsychism”, i.e., the idea that if everything is conscious, then we get machine consciousness in AI for free. However, I argue that all three of these methods for attributing machine consciousness are inadequate since they each face serious philosophical problems which I will survey and specifically tailor to each method. (shrink)

Information and meaning are present everywhere around us and within ourselves. Specific studies have been implemented to link information and meaning (Linguistic, Biosemiotic, Psychology, Psychiatry, Cognition, Artificial Intelligence... ). No general coverage is available for the notion of meaning. We propose to complement this lack by a system approach to meaning generation in an evolutionary background. That short paper is a summary of the system approach where a Meaning Generator System (MGS) based on internal constraint satisfaction has been introduced. The (...) MGS can be used for animals (with “stay alive” related constraints), for humans (with “look for happiness” type constraints) and for artificial agents with programmed constraints. Definitions for agency and autonomy are made available based on internal constraint satisfaction. Usage of the MGS with the Turing Test shows why today computers cannot think like humans do. The MGS also allows to introduces evolutionary scenarios for cognition, intentionality and self-consciousness, with an entry point to a human specific anxiety. Continuations are proposed. (shrink)

This paper revisits the rhetorics of system and irony in Fichte and Friedrich Schlegel in order to theorize the utopic operation and standpoint that, I argue, system and irony share. Both system and irony transport the speculative speaker to the impossible zero point preceding and suspending the construction of any binary terms or the world itself—an immanent nonplace (of the in-itself, nothingness, or chaos) that cannot be inscribed into the world's regime of comprehensibility and possibility. It is because the philosopher (...) and the ironist articulate their speech immanently from this standpoint that system and irony are positioned as incomprehensible to those framed rhetorically as incapable of occupying it. This standpoint is philosophically important, I maintain, because it allows one to think how the (comprehensibility of the) world is constructed without being bound to the necessity of this construction or having to absolutize the way things are or can be. (shrink)

Many contemporary epistemologists take rational inference to be a conscious action performed by the thinker (Boghossian 2014; 2018; Valaris 2014; Malmgren 2018). It is tempting to think that rational evaluability requires responsibility, which in turn requires conscious action. In that case, unconscious cognition involves merely associative or otherwise arational processing. This paper argues instead for deep rationalism: unconscious inference often exhibits the same rational status and richly structured logical character as conscious inference. The central case study is rationalization, in which (...) people shift their attitudes in logically structured, reason-responsive ways in response to evidence of their own incompetence or immorality. These attitude shifts are irrational in a way that reflects on the thinker. Thus rationally evaluable inference extends downward into the unconscious. Many take the sole aim of belief to be truth (Velleman 2000) or knowledge (Williamson 2000), but the prevalence of rationalization suggests that belief updating often aims instead at preserving our positive conceptions of ourselves—that is, belief updating is part of a psychological immune system (Gilbert 2006; Mandelbaum 2019). This paper argues that the psychological immune system comprises a suite of distinct cognitive mechanisms, some (ir)rational and some arational, which are united by a common function of avoiding the maladaptive predomination of negative affect and maintaining stable motivation. Other aspects of the psychological immune system include (i) a domain-general positive bias in evaluative attitudes and (ii) “terror management,” i.e., the systematic strengthening of meaning-conferring beliefs to avoid death anxiety. The multiplicity of processes underlying the psychological immune system point toward an irrational but adaptive function of cognition to keep us motivated in a world rife with negativity and death. (shrink)