Research on interdisciplinarity has been concentrated on the methodological and educational aspects of this complex phenomenon and less on its theoretical nature. Within a theoretical framework specific to the philosophy of science, I propose a structural scheme of how interdisciplinary processes go, focusing on the concepts of availability of the methods, concept linking, and theoretical modeling. In this model, the challenges interdisciplinarity is claimed to pose to its practitioners are of the same nature as the challenges scientists (...) encounter within the evolution of their own disciplines. (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)

Alvin Plantinga’s theory of knowledge, as developed in his Warrant trilogy, has shaped the debates surrounding many areas in epistemology in profound ways. Plantinga has received his share of criticism, however, particularly in his treatment of belief in God as being “properly basic”. There has also been much confusion surrounding his notions of warrant and proper function, to which Plantinga has responded numerous times. Many critics remain unsatisfied, while others have developed alternative understandings of warrant in order to rescue Plantinga’s (...) theory from certain objections. The most promising of such attempts fall under the broad category of “virtue epistemology” or a “virtue-theoretic” approach. The work being done in virtue epistemology is still in its early stages and a consensus on what actually constitutes virtue epistemology has yet to be reached. While some have attempted to structure an entire theory of knowledge based on the virtues possessed by the knower, others have focused more on the role of epistemic virtues as an attempt to supplement existing theories, including Plantinga’s. In this paper, I will offer an analysis of what such an attempt might look like and evaluate the potential success of broadening Plantinga’s original model. -/- My proposal is that certain features of a virtue-theoretic approach (also referred to as “agent-reliabilism”) could improve Plantinga’s model in significant ways. Not only would such a broadened approach be better equipped to handle common objections, but it would also be better suited to contribute an enhanced understanding of the task of epistemology, one that seeks to discover multiple epistemic goods other than what has been traditionally confined to the realm of knowledge. I conclude by applying this approach to Plantinga’s treatment of theistic belief in Warranted Christian Belief and by articulating a few of the ways in which epistemic virtues can increase the degree of warrant enjoyed by such belief. (shrink)

The triplet model treats a concept as complex structure that expresses three kinds of information. The first is about entities subsumed under a concept,their properties and relations. The second is about means and ways of representing the first information in intelligent systems. The third is about linkage between the first and second ones and methods of its constructing. The application of triplet models to generalization and development of concept models in philosophy, logic, cognitive psychology, cognitive science, linguistics, artificial intelligence (...) has been demonstrated. The componential structure of the triplet model and extended concept classification have been given. Theoretical considerations are combined with historical case-studies of concept history. For scientists and students with an interest in problems of knowledge structure and representation. Abstract and Extended Summary in English. (shrink)

Gerontology together with its subfields, such as social gerontology, geragogy, educational gerontology, political gerontology, environmental gerontology, and financial gerontology, is still a relatively new academic discipline that is currently intensively developing, expanding research fields and combining various theoretical and practical perspectives. The interdisciplinarity, transdisciplinarity, and multidisciplinarity of research on ageing and old age, despite its vast thematic, methodological and theoretical diversity, have a common denominator, which is the focus of research work on improving the quality of life of (...) older people. It is the concern for the components of quality of life such as welfare and well-being as well as focus on learning about phenomena conditioning successful ageing that has become motivators and premises hidden or visible in many texts included in the Research Topic “Perspectives and Theories of Social Innovation for Ageing Population.” The Research Topic that we are presenting to our readers is unique not only because of its size but above all because of its novelty and social involvement, visible in the content of individual chapters. The presented collection includes 17 articles prepared in total by 76 authors from the following countries: China, Finland, Germany, Ghana, Hungary, Ireland, Israel, Italy, Japan, the Netherlands, Poland, Portugal, Slovenia, Spain, Sweden, the United Kingdom, and the United States. Two journals were combined with this Research Topic: “Frontiers in Public Health” and “Frontiers in Sociology.” The presented Research Topic contains seven types of articles covering: two community case studies, eight original research articles, two perspective articles, one hypothesis and theory paper, one policy and practice review, one methods article, and two book reviews. The rationale to start work on this set of texts was the desire to continue and deepen the research analyses of the editors of this set, which concern the development of social innovations for the ageing population as well as changes of public policy on ageing. This Research Topic deals with topics covering issues such as social learning, intergenerational transmission, senior entrepreneurship, creative content creation by older adults, care services, raising the independence of older people in their living environments, dementia challenges, the image of the older generation in local social policies, new trends in qualitative research on old age, strategies for dealing with chronic diseases, the use of digital tools in health education, the silver economy/longevity economy, age-friendly environments, the diversity of structures and social services, preparation for old age, and food safety. The wide variety of submitted texts shows several selected and, according to the authors, current challenges that contemporary seniors have to face. The articles comprising this Research Topic are organized according to five themes. (shrink)

Ethnobiology has become increasingly concerned with applied and normative issues such as climate change adaptation, forest management, and sustainable agriculture. Applied ethnobiology emphasizes the practical importance of local and traditional knowledge in tackling these issues but thereby also raises complex theoretical questions about the integration of heterogeneous knowledge systems. The aim of this article is to develop a framework for addressing questions of integration through four core domains of philosophy -epistemology, ontology, value theory, and political theory. In each of (...) these dimensions, we argue for a model of “partial overlaps” that acknowledges both substantial similarities and differences between knowledge systems. While overlaps can ground successful collaboration, their partiality requires reflectivity about the limitations of collaboration and co-creation. By outlining such a general and programmatic framework, the article aims to contribute to developing “philosophy of ethnobiology” as a field of interdisciplinary exchange that provides new resources for addressing foundational issues in ethnobiology and also expands the agenda of philosophy of biology. (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)

Arguments pro and contra convergent realism – underdetermination of theory by observational evidence and pessimistic meta-induction from past falsity – are considered. It is argued that, to meet the counter-arguments challenge, convergent realism should be considerably changed with a help of modification of the propositions from this meta-programme “hard core” or “protecting belt”. Two well-known convergent realism rivals – “entity realism” of Nancy Cartwright and Ian Hacking and John Worrall’s “structural realism” – are considered. Entity realism’s main drawback is fundamental (...) laws underestimation. As for structural realism, its limitation of theoretical propositions by pure structural ones is ineffective. One always can transform propositions about objects into propositions about structures and vice versa. Both conceptions are kinds of “metaphysical revisionism” that tries to reformulate the good old convergent realism propositions using more decent language and applying ad hoc modifications of the solutions first obtained within the anti-realist epistemological meta-programmes. It is stated that to overcome the troubles of convergent realism one has to turn from classical or “metaphysical” realism to nonclassical or “internal” one and to coherent theory of truth. Internal realism has no troubles in solving the problem of empirically-equivalent theoretical descriptions and historical meta-induction problem, but gets the problem of scientific knowledge objectivity instead. Where does this objectivity come from? One of the answers is proposed by the scientific knowledge growth model elaborated by Rinat Nugayev and by Peter Galison. Each paradigm is a local viewpoint determined by the peculiarities of a culture into which its creator . was submerged. However, the meeting of the different paradigms leads to their interaction; as a result, the crossbred theoretical objects are constructed. Through these systems the infiltration of one paradigm on the other’s domain takes place. After the old paradigms’ grinding the new ones emerge that reconcile to each other much better than the old ones. Scientific theories reconcile results in elimination of many contingent details. In the process of competition more universal components survive. It is demonstrated that the process of objective knowledge genesis takes place in modern superstring theory too. The list of its drawbacks is rather long; it is clear that the theory cannot pretend on the role of the Theory of Everything. Nevertheless the process of argumentation pro and contra convergent realism – underdetermination of theory by observational evidence and pessimistic meta-induction from past falsity – are considered. It is argued that, to meet the counter-arguments challenge, convergent realism should be considerably changed with a help of modification of the propositions from this meta-programme “hard core” or “protecting belt”. It is stated that to overcome the troubles of convergent realism one has to turn from classical or “metaphysic” of quantum field theory and general relativity interpenetration have already begun. (shrink)

Stein has characterized one of the central problems in accounting for our knowledge in physics as that of getting the laboratory, or observatory, inside the theory -- that is, of understanding how the mathematical structures of fundamental physical theories have empirical content. He has argued that physicists respond to this problem by giving schematic representations of observers and experiments. In addition, Stein emphasizes the importance of regarding knowledge as an enterprise, with current theories providing guidance for future inquiry. I will (...) explore some ramifications of this way of thinking about the structure of scientific theories for contemporary cosmology. One goal of observational cosmology is to measure the six basic parameters appearing in the standard model of cosmology. These parameters are well-defined if the universe is suitably approximated at some scale by a perturbed FLRW model. The enormous extrapolations involved in the standard model are often justified by the consistent determination of these parameters via a variety of methods. Here I will consider two recent debates regarding this approach to cosmology, inspired by Stein's work. The first debate regards the impact of different ways of characterizing the propagation of light through a cosmological spacetime on the determination of cosmological parameters (such as H_0). The second regards how the highly symmetric FLRW models relate to describing the real universe, at small scales where it is very lumpy. (shrink)

This paper means to demonstrate the theoretical-and- methodological potential of a particular pattern of thought about culture. Employing an end-means and absolute value plus concept of reality approach, the continuous model of culture aims to embrace from one holistic standpoint various concepts and debates of the modern human, social, and political sciences. The paper revisits the debates of fact versus value, nature versus culture, culture versus structure, agency versus structure, and economics versus politics and offers the concepts (...) of the rule of law, state capitalism, a dialectical model of progress, and interpretative qualitative research, as well as of cultural diffusion, autonomy, alienation, and individuality. This model distinguishes between the ideal-symbolical and the instrumental functions of culture, sees culture as being sewn from universal binaries, and provides a certain understanding of the cognitive function of a value judgment, with positivism so far vague about the topic. It, too, suggests an extra method for investigating culture : the comparative literature study of culture enables social science to view literature as its potential in-depth interviewee— a case for arguing for a certain conception of interdisciplinarity as well. In addition, it predicts that cultural particularism or individuality remains an essential factor of human existence. Analyzing the issue of Eurocentrism in social science, the model finds modernity ’s concept of reality to be involved in ” methodological ” intellectualistic reductionism, characterizing it since the empiricism/ rationalism origination. Systematically confusing the universal oppositions in a Eurocentric manner, intellectualism becomes a contributing factor in unfolding post- modernity. (shrink)

Types are fundamental for conceptual modeling and knowledge representation, being an essential construct in all major modeling languages in these fields. Despite that, from an ontological and cognitive point of view, there has been a lack of theoretical support for precisely defining a consensual view on types. As a consequence, there has been a lack of precise methodological support for users when choosing the best way to model general terms representing types that appear in a domain, and for building (...) sound taxonomic structures involving them. For over a decade now, a community of researchers has contributed to the development of the Unified Foundational Ontology (UFO) - aimed at providing foundations for all major conceptual modeling constructs. At the core of this enterprise, there has been a theory of types specially designed to address these issues. This theory is ontologically well- founded, psychologically informed, and formally characterized. These results have led to the development of a Conceptual Modelling language dubbed OntoUML, reflecting the ontological micro-theories comprising UFO. Over the years, UFO and OntoUML have been successfully employed on conceptual model design in a variety of domains including academic, industrial, and governmental settings. These experiences exposed improvement opportunities for both the OntoUML language and its underlying theory, UFO. In this paper, we revise the theory of types in UFO in response to empirical evidence. The new version of this theory shows that many of OntoUML’s meta-types (e.g. kind, role, phase, mixin) should be considered not as restricted to substantial types but instead should be applied to model endurant types in general, including relator types, quality types, and mode types. We also contribute with a formal characterization of this fragment of the theory, which is then used to advance a new metamodel for OntoUML (termed OntoUML 2). To demonstrate that the benefits of this approach are extended beyond OntoUML, the proposed formal theory is then employed to support the definition of UFO-based lightweight Semantic Web ontologies with ontological constraint checking in OWL. Additionally, we report on empirical evidence from the literature, mainly from cognitive psychology but also from linguistics, supporting some of the key claims made by this theory. Finally, we propose a computational support for this updated metamodel. (shrink)

The book is very well structured to support practical skills development in understanding DSGE modelling through exercises to graduate a user knowledge on macroeconomic application relevant for policy decisions through use of scientific programs like DYNARE /IRIS, appropriate for use with MatLab/Octave. The author also provided useful references for the more inquisitive reader or practitioner to develop his / her ontological quest for further knowledge in the macroeconomic management of a state (Jackson, 2016). On the basis of relevance of (...) its contents pertaining to theoretical application of macroeconomic policy and management of an economy, I strongly recommend this book to anyone preparing for graduate courses in Economics and related areas like Econometrics, Economic Policy Management and also, to the practitioner-researcher engaged in macroeconomic model construction and policy formulation. (shrink)

It is natural to suppose the following three: factivity of knowledge, alda-know synonymy, and the univocity of alda. However, rago-knowledge attribution, expressed by “rago alda” sentences, seems to defeat to hold them at once. In this paper, I try to dissolve this predicament, analyzing “rago alda” sentence as a kind of hybrid language expression. And the theoretical advantages, which my analysis has over other possible, alternative approaches, are to be shown.

Gödel's Philosophical Legacy Kurt Gödel's contributions to philosophy extend beyond his incompleteness theorems. He engaged deeply with the work of other philosophers, including Immanuel Kant and Edmund Husserl, and explored topics such as the nature of time, the structure of the universe, and the relationship between mathematics and reality. Gödel's philosophical writings, though less well-known than his mathematical work, offer rich insights into his views on the nature of existence, the limits of human knowledge, and the interplay between the (...) finite and the infinite. His work continues to inspire and challenge philosophers, mathematicians, and scientists, inviting them to explore the profound and often enigmatic questions at the heart of human understanding. -/- Kurt Gödel's Broader Contributions to Philosophy Kurt Gödel, while primarily known for his monumental incompleteness theorems, made significant contributions that extended beyond the realm of mathematical logic. His philosophical pursuits deeply engaged with the works of eminent philosophers like Immanuel Kant and Edmund Husserl. Gödel's explorations into the nature of time, the structure of the universe, and the relationship between mathematics and reality reveal a profound and multifaceted intellectual legacy. -/- Engagement with Immanuel Kant Gödel held a deep interest in the philosophy of Immanuel Kant. He admired Kant's critical philosophy, particularly the distinction between the noumenal and phenomenal worlds. Kant posited that human experience is shaped by the mind’s inherent structures, leading to the conclusion that certain aspects of reality (the noumenal world) are fundamentally unknowable. Gödel’s incompleteness theorems echoed this Kantian theme, illustrating the limits of formal systems in capturing the totality of mathematical truth. Gödel believed that mathematical truths exis t independently of human thought, akin to Kant's noumenal realm. This philosophical alignment provided a robust foundation for Gödel's Platonism, which asserted the existence of mathematical objects as real, albeit abstract, entities. -/- Influence of Edmund Husserl Gödel was also profoundly influenced by Edmund Husserl, the founder of phenomenology. Husserl's phenomenology emphasizes the direct investigation and description of phenomena as consciously experienced, without preconceived theories about their causal explanation. Gödel saw Husserl's work as a pathway to bridge the gap between the abstract world of mathematics and concrete human experience. Husserl's ideas about the structures of consciousness and the intentionality of thought resonated with Gödel's views on mathematical intuition. Gödel believed that human minds could access mathematical truths through intuition, a concept that draws on Husserlian phenomenological methods. -/- The Nature of Time and the Universe Gödel's philosophical inquiries extended to the nature of time and the structure of the universe. His collaboration with Albert Einstein at the Institute for Advanced Study led to the development of the "Gödel metric" in 1949. This solution to Einstein's field equations of general relativity described a rotating universe where time travel to the past was theoretically possible. Gödel's model challenged conventional notions of time and causality, suggesting that the universe might have a more intricate structure than previously thought. Gödel's exploration of time was not just a mathematical curiosity but a profound philosophical statement about the nature of reality. He questioned whether time was an objective feature of the universe or a construct of human consciousness. His work hinted at a timeless realm of mathematical truths, aligning with his Platonist view. -/- Mathematics and Reality Gödel's philosophical outlook extended to the broader relationship between mathematics and reality. He believed that mathematics provided a more profound insight into the nature of reality than empirical science. For Gödel, mathematical truths were timeless and unchangeable, existing independently of human cognition. This perspective led Gödel to critique the materialist and mechanistic views that dominated 20th-century science and philosophy. He argued that a purely physicalist interpretation of the universe failed to account for the existence of abstract mathematical objects and the human capacity to understand them. Gödel's philosophy suggested a more integrated view of reality, where both physical and abstract realms coexist and inform each other. -/- Gödel's Exploration of Time Kurt Gödel, one of the most profound logicians of the 20th century, ventured beyond the confines of mathematical logic to explore the nature of time. His inquiries into the concept of time were not merely theoretical musings but were grounded in rigorous mathematical formulations. Gödel's exploration of time challenged conventional views and opened new avenues of thought in both physics and philosophy. -/- Gödel and Einstein Gödel’s interest in the nature of time was significantly influenced by his friendship with Albert Einstein. Both were faculty members at the Institute for Advanced Study in Princeton, where they engaged in deep discussions about the nature of reality, time, and space. Gödel's exploration of time culminated in his solution to Einstein's field equations of general relativity, known as the Gödel metric. -/- The Gödel Metric In 1949, Gödel presented a model of a rotating universe, which became known as the Gödel metric. This solution to the equations of general relativity depicted a universe where time travel to the past was theoretically possible. Gödel’s rotating universe contained closed timelike curves (CTCs), paths in spacetime that loop back on themselves, allowing for the possibility of traveling back in time. The Gödel metric posed a significant philosophical challenge to the conventional understanding of time. If time travel were possible, it would imply that time is not linear and absolute, as commonly perceived, but rather malleable and subject to the geometry of spacetime. This raised profound questions about causality, the nature of temporal succession, and the very structure of reality. -/- Philosophical Implications Gödel’s exploration of time extended beyond the mathematical implications to broader philosophical inquiries: Nature of Time: Gödel questioned whether time was an objective feature of the universe or a construct of human consciousness. His work suggested that our understanding of time as a linear progression from past to present to future might be an illusion, shaped by the limitations of human perception. -/- Causality and Free Will: The existence of closed timelike curves in Gödel’s model raised questions about causality and free will. If one could travel back in time, it would imply that future events could influence the past, potentially leading to paradoxes and challenging the notion of a deterministic universe. -/- Temporal Ontology: Gödel's work contributed to debates in temporal ontology, particularly the debate between presentism (the view that only the present exists) and eternalism (the view that past, present, and future all equally exist). Gödel’s rotating universe model seemed to support eternalism, suggesting a block universe where all points in time are equally real. Philosophy of Science: Gödel’s exploration of time had implications for the philosophy of science, particularly in the context of understanding the limits of scientific theories. His work underscored the importance of considering philosophical questions when developing scientific theories, as they shape our fundamental understanding of concepts like time and space. -/- Legacy Gödel’s exploration of time remains a significant and controversial contribution to both physics and philosophy. His work challenged established notions and encouraged deeper inquiries into the nature of reality. Gödel’s rotating universe model continues to be a topic of interest in theoretical physics and cosmology, inspiring new research into the nature of time and the possibility of time travel. In philosophy, Gödel’s inquiries into time have prompted ongoing debates about the nature of temporal reality, the relationship between mathematics and physical phenomena, and the limits of human understanding. His work exemplifies the intersection of mathematical rigor and philosophical inquiry, demonstrating the profound insights that can emerge from such an interdisciplinary approach. The Temporal Ontology of Kurt Gödel Kurt Gödel's profound contributions to mathematics and logic extend into the realm of temporal ontology—the philosophical study of the nature of time and its properties. Gödel's insights challenge conventional perceptions of time and suggest a more intricate, layered understanding of temporal reality. This essay explores Gödel's contributions to temporal ontology, particularly through his engagement with relativity and his philosophical reflections. -/- Gödel's Rotating Universe One of Gödel’s most notable contributions to temporal ontology comes from his work in cosmology, specifically his solution to Einstein’s field equations of general relativity, known as the Gödel metric. Introduced in 1949, the Gödel metric describes a rotating universe with closed timelike curves (CTCs). These curves imply that, in such a universe, time travel to the past is theoretically possible, presenting a significant challenge to conventional views of linear, unidirectional time. -/- Implica tions for Temporal Ontology Gödel's rotating universe model has profound implications for our understanding of time: Eternalism vs. Presentism: Gödel’s model supports the philosophical stance known as eternalism, which posits that past, present, and future events are equally real. In contrast to presentism, which holds that only the present moment exists, eternalism suggests a "block universe" where time is another dimension like space. Gödel’s rotating universe, with its CTCs, reinforces this view by demonstrating that all points in time could, in principle, be interconnected in a consistent manner. Non-linearity of Time: The possibility of closed timelike curves challenges the idea of time as a linear sequence of events. In Gödel’s universe, time is not merely a straight path from past to future but can loop back on itself, allowing for complex interactions between different temporal moments. This non-linearity has implications for our understanding of causality and the nature of temporal succession. Objective vs. Subjective Time: Gödel’s work invites reflection on the distinction between objective time (the time that exists independently of human perception) and subjective time (the time as experienced by individuals). His model suggests that our subjective experience of a linear flow of time may not correspond to the objective structure of the universe. This raises questions about the relationship between human consciousness and the underlying temporal reality. -/- Gödel and Philosophical Reflections on Time Gödel’s engagement with temporal ontology was not limited to his cosmological work. He also reflected deeply on philosophical questions about the nature of time and reality, drawing on the ideas of other philosophers and integrating them into his own thinking. Kantian Influences: Gödel was influenced by Immanuel Kant’s distinction between the noumenal world (things as they are in themselves) and the phenomenal world (things as they appear to human observers). Gödel’s views on time echoed this distinction, suggesting that our perception of time might be a phenomenon shaped by the limitations of human cognition, while the true nature of time (the noumenal aspect) might be far more complex and non-linear. Husserlian Phenomenology: Gödel’s interest in Edmund Husserl’s phenomenology also informed his views on time. Husserl’s emphasis on the structures of consciousness and the intentionality of thought resonated with Gödel’s belief in the importance of intuition in accessing mathematical truths. Gödel’s reflections on time incorporated a phenomenological perspective, considering how temporal experience is structured by human consciousness. Mathematical Platonism: Gödel’s Platonist views extended to his understanding of time. Just as he believed in the independent existence of mathematical objects, Gödel saw time as an objective entity with a structure that transcends human perception. His work on the Gödel metric can be seen as an attempt to uncover this objective structure, revealing the deeper realities that underlie our experience of time. (shrink)

This small book continues the theoretical study on the structure of the universe. It examines the category of “time” in the light of a new cosmological model proposed by the author in his book “The Origin of Mankind”. It is generally accepted that after researches of A. Einstein, А. Minkovsky and others space and time are considered in their interrelation, as the continuum. Nevertheless, the category of “time” is still a bone of contention and a cause of a (...) great deal of misunderstanding in contemporary science. In philosophy, mathematics, physics it has different meanings. In this book the author dares to give more precise definition of the category of “time” from the point of view of the contemporary level of knowledge. (shrink)

Clinical Legal Education programmes now take place in most law schools in England and Wales. However, legal education continues to be predominantly focused on the analysis and application of rules, doctrines, and theories to hypothetical scenarios or essay questions. This form of pedagogy either minimises or ignores the role of the client in terms of supplying lawyers with knowledge pertinent to their case. In other words, it overlooks the fact that the lawyer’s acquisition of knowledge is not confined to technical (...) rationality. This article seeks to achieve three broad aims. First, to contribute to the debate concerning the epistemology of reflective practice. Second, to develop a theoretical reflective cycle, informed by Kant’s transcendental idealism, which seeks to maximise knowledge acquisition in legal education, namely knowledge supplied by the client. Third, to address implicit bias using the proposed reflective cycle. An optimal pedagogy for using this cycle is Clinical Legal Education, namely live client clinics. (shrink)

Two fundamentally different perspectives on knowledge diffusion dominate debates about academic disciplines. On the one hand, critics of disciplinary research and education have argued that disciplines are isolated silos, within which specialists pursue inward-looking and increasingly narrow research agendas. On the other hand, critics of the silo argument have demonstrated that researchers constantly import and export ideas across disciplinary boundaries. These perspectives have different implications for how knowledge diffuses, how intellectuals gain and lose status within their disciplines, and how intellectual (...) reputations evolve within and across disciplines. We argue that highly general claims about the nature of disciplinary boundaries are counterproductive, and that research on the nature of specific disciplinary boundaries is more useful. To that end, this paper uses a novel publication and citation network dataset and statistical models of citation networks to test hypotheses about the boundaries between philosophy of science and 11 disciplinary clusters. Specifically, we test hypotheses about whether engaging with and being cited by scientific communities outside philosophy of science has an impact on one’s position within philosophy of science. Our results suggest that philosophers of science produce interdisciplinary scholarship, but they tend not to cite work by other philosophers when it is published in journals outside of their discipline. Furthermore, net of other factors, receiving citations from other disciplines has no meaningful impact—positive or negative—on citations within philosophy of science. We conclude by considering this evidence for simultaneous interdisciplinarity and insularity in terms of scientific trading theory and other work on disciplinary boundaries and communication. (shrink)

The paper begins with a characterization of thought experiments, followed by a general outline of contemporary debates in the field. The discussion reveals that the most significant controversy involved is the dispute over the epistemic status of thought experiments between empiricists, Platonists, and the proponents of mental models. After a critical analysis of these approaches, a new theoretical framework proposed by Paul Bartha is introduced. It is suggested that Bartha’s approach, which appeals to a theory of analogy, offers new (...) insights into the structure of thought experiments. The paper concludes with general remarks on the state of the art in the field. (shrink)

The value of science partly lies on the development of useful products for humanity’s needs, but basic sciences cannot be said the “protagonists” of their obtention. Human history shows that these processes occur as a result of interactions between science and technology, mathematics, and engineering, as well as ethics and aesthetics. This network of disciplinary relationships facilitating the impact of scientific knowledge on human lives is at the center of discussions in the field of Science, Technology, Engineering, and Mathematics (STEM) (...) education, and will be the focus of this article. Since the problems encountered in people’s everyday activities cannot be solved with the knowledge and skill of a single discipline, there emerges an aim for general education to attain more holistic understandings required by human needs. Our conceptualization of STEM education, based on classical Greek philosophy, addresses this issue. We acknowledge that the traditional paradigm of monodisciplinary education, formed as a result of the separation of sciences over history, has been challenged in the last two decades with the rise of integrating approaches in science and technology education. STEM is consistently mentioned as a way for gaining the integrated knowledge and skills deemed important for the near future, but theoretical searches towards solving its basic problems are still ongoing and we take this as our general research problem. In this argumentative study, the philosophical approach proposed to shed light on STEM education practices is structured along two conceptual axes: integration of disciplines and inclusion of humanistic goals. Suitable foundations for our proposal are sought in Aristotelian philosophy: We use Aristotle’s conception of a particular kind of human activity—poiesis, that aims to create “useful” and “aesthetic” products in order to propose an engineering “center” or “core” in the design of STEM school practices. Our model, labeled as “poietic” STEM, incorporates key elements of the nature of engineering; under the light of such a model, some aspects of what is called the “nature of STEM” are discussed. We conclude that, in an education envisaging more holistic approaches towards citizen literacy, it is necessary to connect the performance of STEM with responsible human interaction. In accordance with this requirement, our approximation to STEM centered on an epistemologically sophisticated conception of engineering makes room for fostering shared awareness in students. (shrink)

This article is a knowledge technology case study of DNAOS, a distributed platform for Knowledge Resource Entitlement, Modeling, Management, and Sharing (KREMMS). Some historical aspects of its design, development, and release are briefly discussed, after which the DNAOS technology is commented upon from the specific viewpoint of KREMMS. At the core of this platform is the conception of knowledge as a natural phenomenon, which conception is reflected in the ontology of this technology: Fundamental knowledge structures and structuring principles, believed to (...) be “natural,” including qualification, resources, and relationships, are considered theoretically and modeled computationally. Finally, with the help of images, the reader is briefly introduced to some DNAOS capabilities, touching on transaction, application, data, model, and interface. (shrink)

The contrast between the strategies of research employed in reductionism and holism masks a radical contradiction between two different scientific philosophies. We concentrate in particular on an analysis of the key philosophical issues which give structure to holistic thought. A first (non-exhaustive) analysis of the philosophical tradition will dwell upon: a) the theory of emergence: each level of organisation is characterised by properties whose laws cannot be deduced from the laws of the inferior levels of organisation (Engels, Morgan); b) (...) clarification of the relations between the “whole” and the “parts” (Woodger, Needham); c) the ontological or epistemological nature of the emergent properties; are they a phenomenological reality or solely an artefact of the state of our knowledge? (Pepper, Henle, Hempel and Oppenheim); d) the proposition of the holistic theoretical and methodological model ( Novikoff, Feibleman). I then go on to examine the differences that exist between the reductionist and the holistic approaches at various levels of analysis: that is to say, the differences which affect their ontologies, methodologies and epistemologies respectively. I attempt to understand the spirit of a holistic approach to ecology by analyzing the major work of E.P. Odum Fundamentals of ecology (1953, 1959, 1971). I set forward what might be meant by the “holistic approach”, which is implicated in all the different levels of organisation at which the problem of “complexity” is debated. Ecology presents itself as an “holistic science” and Odum’s book offers a vision of the world which dates far back in the history of philosophy. By looking at the three different editions of this fundamental text on ecology, we may become aware of the evolution of Odum’s thought. In fact, only in the third and last edition is there a conscious appropriation of the holistic approach (by using the theoretical models of Feibleman who, for his part, refers to Novikoff). However, even when formally referring to the theory of emergence (that is to say the ontological nucleus of every holistic approach), Odum’s systemic analysis presents the same logical errors, which push him back into the reductionist domain. Above all, in his examination of the main concepts of “population”, “community” and “ecosystem”, there is a misunderstanding of the profound difference between “collective properties” and “emergent properties”. Moreover, the cybernetic models of Odum’s systemic analysis (introduced into ecology by Margalef), allowed him to vastly oversimplify his methodological task: in fact, neither how many levels nor which levels of organization are fundamental for the study of each individual level is clearly marked. Finally, Odum analyses the ecosystem as composed of energetic flux and cycles of matter, referring to the trophic-dynamic vision of Lindeman. That is to say, in my opinion, he juxtaposes a reductionistic methodology and epistemology to an holistic ontology. (shrink)

My primary goal in this paper is to demonstrate the inadequacy of Hubert Dreyfus’ use of understanding (Verstehen) for Artificial Intelligence (AI). My complementary goal is to provide a principled account of Martin Heidegger’s concept of understanding (Verstehen). Dreyfus and other verificationists argue that understanding (Verstehen) is socially purposive action and skillful embodied coping. Understanding (Verstehen), conceived of in this way, purportedly challenges cognitive models of Artificial Intelligence (AI) that rely on formal rules, ‘rational’ decisionmaking, and the explicit representation of (...) knowledge. This account is unsatisfactory for two reasons. First, it maintains an extrinsic, goal-oriented intentionality that is susceptible to the success of Artificial Intelligence (AI). Second, it ignores the systematic and constitutive analysis of self-understanding (Seinsverständnis) that is fundamental to Heidegger’s ontology. Recent exegetical work replicates these inadequacies and fails to improve discussions on Heidegger’s relationship to Artificial Intelligence (AI). To resolve this oversight, I bridge the gap between Heidegger’s concept of understanding and disclosedness (Erschlossenheit) (SZ §44 / 256-278). I argue that understanding characterizes the pre-theoretical grasp of entities and the pre-ontological structure that initiates the question of self-understanding (Seinsverständnis). (shrink)

The thesis deals with the concept of truth and the paradoxes of truth. Philosophical theories usually consider the concept of truth from a wider perspective. They are concerned with questions such as - Is there any connection between the truth and the world? And, if there is - What is the nature of the connection? Contrary to these theories, this analysis is of a logical nature. It deals with the internal semantic structure of language, the mutual semantic connection of (...) sentences, above all the connection of sentences that speak about the truth of other sentences and sentences whose truth they speak about. Truth paradoxes show that there is a problem in our basic understanding of the language meaning and they are a test for any proposed solution. It is important to make a distinction between the normative and analytical aspect of the solution. The former tries to ensure that paradoxes will not emerge. The latter tries to explain paradoxes. Of course, the practical aspect of the solution is also important. It tries to ensure a good framework for logical foundations of knowledge, for related problems in Artificial Intelligence and for the analysis of the natural language. Tarski’s analysis emphasized the T-scheme as the basic intuitive principle for the concept of truth, but it also showed its inconsistency with the classical logic. Tarski’s solution is to preserve the classical logic and to restrict the scheme: we can talk about the truth of sentences of a language only inside another essentially richer metalanguage. This solution is in harmony with the idea of reflexivity of thinking and it has become very fertile for mathematics and science in general. But it has normative nature | truth paradoxes are avoided in a way that in such frame we cannot even express paradoxical sentences. It is also too restrictive because, for the same reason we cannot express a situation in which there is a circular reference of some sentences to other sentences, no matter how common and harmless such a situation may be. Kripke showed that there is no natural restriction to the T-scheme and we have to accept it. But then we must also accept the riskiness of sentences | the possibility that under some circumstances a sentence does not have the classical truth value but it is undetermined. This leads to languages with three-valued semantics. Kripke did not give any definite model, but he gave a theoretical frame for investigations of various models | each fixed point in each three-valued semantics can be a model for the concept of truth. The solutions also have normative nature | we can express the paradoxical sentences, but we escape a contradiction by declaring them undetermined. Such a solution could become an analytical solution only if we provide the analysis that would show in a substantial way that it is the solution that models the concept of truth. Kripke took some steps in the direction of finding an analytical solution. He preferred the strong Kleene three-valued semantics for which he wrote it was "appropriate" but did not explain why it was appropriate. One reason for such a choice is probably that Kripke finds paradoxical sentences meaningful. This eliminates the weak Kleene three valued semantics which corresponds to the idea that paradoxical sentences are meaningless, and thus indeterminate. Another reason could be that the strong Kleene three valued semantics has the so-called investigative interpretation. According to this interpretation, this semantics corresponds to the classical determination of truth, whereby all sentences that do not have an already determined value are temporarily considered indeterminate. When we determine the truth value of these sentences, then we can also determine the truth value of the sentences that are composed of them. Kripke supplemented this investigative interpretation with an intuition about learning the concept of truth. That intuition deals with how we can teach someone who is a competent user of an initial language (without the predicate of truth T) to use sentences that contain the predicate T. That person knows which sentences of the initial language are true and which are not. We give her the rule to assign the T attribute to the former and deny that attribute to the latter. In that way, some new sentences that contain the predicate of truth, and which were indeterminate until then, become determinate. So the person gets a new set of true and false sentences with which he continues the procedure. This intuition leads directly to the smallest fixed point of strong Kleene semantics as an analytically acceptable model for the logical notion of truth. However, since this process is usually saturated only on some transfinite ordinal, this intuition, by climbing on ordinals, increasingly becomes a metaphor. This thesis is an attempt to give an analytical solution to truth paradoxes. It gives an analysis of why and how some sentences lack the classical truth value. The starting point is basic intuition according to which paradoxical sentences are meaningful (because we understand what they are talking about well, moreover we use it for determining their truth values), but they witness the failure of the classical procedure of determining their truth value in some "extreme" circumstances. Paradoxes emerge because the classical procedure of the truth value determination does not always give a classically supposed (and expected) answer. The analysis shows that such an assumption is an unjustified generalization from common situations to all situations. We can accept the classical procedure of the truth value determination and consequently the internal semantic structure of the language, but we must reject the universality of the exterior assumption of a successful ending of the procedure. The consciousness of this transforms paradoxes to normal situations inherent to the classical procedure. Some sentences, although meaningful, when we evaluate them according to the classical truth conditions, the classical conditions do not assign them a unique value. We can assign to them the third value, \undetermined", as a sign of definitive failure of the classical procedure. An analysis of the propagation of the failure in the structure of sentences gives exactly the strong Kleene three-valued semantics, not as an investigative procedure, as it occurs in Kripke, but as the classical truth determination procedure accompanied by the propagation of its own failure. An analysis of the circularities in the determination of the classical truth value gives the criterion of when the classical procedure succeeds and when it fails, when the sentences will have the classical truth value and when they will not. It turns out that the truth values of sentences thus obtained give exactly the largest intrinsic fixed point of the strong Kleene three-valued semantics. In that way, the argumentation is given for that choice among all fixed points of all monotone three-valued semantics for the model of the logical concept of truth. An immediate mathematical description of the fixed point is given, too. It has also been shown how this language can be semantically completed to the classical language which in many respects appears a natural completion of the process of thinking about the truth values of the sentences of a given language. Thus the final model is a language that has one interpretation and two systems of sentence truth evaluation, primary and final evaluation. The language through the symbol T speaks of its primary truth valuation, which is precisely the largest intrinsic fixed point of the strong Kleene three valued semantics. Its final truth valuation is the semantic completion of the first in such a way that all sentences that are not true in the primary valuation are false in the final valuation. (shrink)

In this article the possibilities of expanding the boundaries of the knowledge and tradition of art philosophy in Turkey through the works of names outside the discipline of philosophy are investigated. For this purpose the production of architectural historian Doğan Kuban is discussed. Kuban’s works are evaluated from a philosophical perspective and it is tried to justify that they should be included in the philosophy of art literature. It has been accepted by the researchers that aesthetics/philosophy of art in Turkey (...) started with the effect of westernization after the Tanzimat. The main problems of the few studies that follow the development of aesthetics are that they examine aesthetics, which developed mainly through literary figures and philosophers who had less space than them, until the establishment of the Republic, only through the works of professional philosophers since the Republic, and they exclude the idea of tradition by not establishing a connection between the local thinkers they have examined and ending their development line with İsmail Tunalı. Common problems in research create the impression that the acceptance of aesthetics or philosophy of art as an activity that only the philosopher can do is accepted as a prejudice. However, philosophy of art is not a field specific to philosophers and limiting the development and accumulation of philosophy of art in Turkey to the work of philosophers narrows the scope of discussion. When a philosophical approach to the subject is sought other than philosophers, the opportunity to meet important names in different disciplines and to read them with a new eye increases. When approached from this perspective, Doğan Kuban’s (1926-2021) works deserve to be questioned in terms of art philosophy. It is noteworthy that Kuban’s production which started in the 1950s and lasted for about 70 years presents a wide field of data and interpretation and that he often attempts theory by reminding the absence of criticism and philosophy in our culture. There are also thinkers who refer to Kuban’s interest in philosophy, aesthetics and philosophy of art. However, Kuban’s relevance to philosophy and aesthetics/art philosophy has not been studied extensively. In the article firstly answers will be sought to the questions of what philosophy and philosophy of art are, and then Kuban’s philosophy of art will be revealed according to the criteria to be determined here. Kuban’s philosophy of art will be examined in three stages. His own theoretical approach will be analyzed by reviewing his objections to the tradition of philosophy of art. In the next step, his views on the philosophy of architecture and the philosophy of Turkish art, which he pursued throughout his production as a quest, will be examined. Finally the problems in Kuban’s philosophy of art will be pointed out and its possibilities will be emphasized. Philosophy is the ability to redefine the concepts starting from the most basic/original problems in any field where one doubts the answers, to determine the principles of the field, to answer the sub-questions with principles in line with consistency and validity, and to construct his own explanation model for the structure of the field by associating these answers. In order to make philosophy of art and philosophy of architecture it is necessary to answer the basic questions of the relevant field, to reach conceptual and principled goals, and to present a model of explanation of the structure of the field within a certain method. In the context of the criteria of art philosophy determined here, Kuban’s thoughts can be questioned in terms of philosophy of art. The philosophy of art, the philosophy of architecture and the philosophy of Turkish art, which became evident by the bringing together of different pieces in Kuban’s works, is a continuous and mutually determined effort. The thinker who criticizes the thinking styles and provisions of Western aesthetics, has created his own concept map with redefinitions and conceptualizations. Kuban redefined the concepts in the field of study, based on these he constructed his understanding of art, the philosophy of architecture and tried to create a model of explanation of Turkish art in which he revealed its history, evolution and basic features. Criticizing the views of C. E. Arseven, J. Strzygowski, E. Diez and O. Aslanapa, Kuban tried to define Turkish art in his own way and tried to explain the basic principles of Turkish art through monumental and civil architecture. Even though this model of explanation has deficiencies it offers new research opportunities to history of art and philosophy researchers with the questions it asks, the concepts it highlights and its unresolved aspects. With his philosophical awareness, criticisms of the philosophy of art, the philosophy of architecture and the attempt to construct the theory of Turkish art, Kuban should be included in the subject area of the philosophy of art studies in Turkey. Evaluation of Kuban’s thoughts by including them in the accumulation of art philosophy in our history of thought will both broaden and diversify the horizon of the field of art philosophy and will enable the philosophy of art to be considered in the context of new relationships between individuals and disciplines by following the traces of thinkers from such different fields. (shrink)

The article deals with the problem of cognition in the framework of the biogenetic structuralist neurophenomenology of Charles Laughlin. The aim of the article is to study the possibilities of applying the biogenetic structuralist theory as a theoretical and methodological basis for the study of consciousness in Laughlin’s theory. A feature of biogenetic structuralism is the interdisciplinary fusion of anthropology, psychology, and neuroscience. The methodology of biogenetic structuralism allows exploring universal structures of consciousness, which are caused by the genetically (...) predisposed organization of the human nervous system. Universal structures of consciousness include structures that mediate human language, knowledge of time and space. It is shown that the problem of cognition is realized in neurognostic models, which are compared with the operational environment. Neurognostic models include both the real nature of man as an organism and the external environment of the organism. Laughlin introduces the concept of a cognitive environment to designate a set of neurognostic models that can potentially be captured by the area of consciousness. He relies on the idea of a cognitive environment, which is essentially intentional in its organization. The polar interaction between the prefrontal cortex and the sensory cortex of the human brain gives rise to the intentionality of consciousness. Laughlin explains the work of the human cerebral cortex neurognostically as omnipresent for human consciousness, and independent of the cultural background. The cerebral cortex is a field of neural activity that arises and dissolves in temporal sequences and coordinates with cognitive processes that connect meaning and form into a single structure in consciousness. The experience of consciousness suggests a sensitive sphere of the cerebral cortex ascertains the meaningful, phenomenal world. The biogenetic structuralist methodology allows to development of an idea of the intentional structure and uniqueness of consciousness. The biogenetic structuralist approach is heuristic for modern science because, firstly, this approach creates the maximum opportunity to include data obtained from naturalistic, ethnographic, anatomical, clinical, and experimental sources; secondly, biogenetic data have the widest empirical and phenomenological rationale; thirdly, biogenetic concepts are defined in the context of a holistic understanding of the phenomenon through the uniqueness of consciousness. (shrink)

Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice (...) as an exclusively out-group phenomenon nonetheless generates implicit in-group promotion, leading to higher relative prosperity of a prejudiced population. This skew in prosperity is seen to be correlated to factors such as size difference between groups, and the fraction of prejudiced agents in a group. Our model is a step towards a deeper understanding of the origins, propagation, and ramifications of prejudice through simulative studies grounded in apt theoretical backgrounds. (shrink)

The classical (set-theoretic) concept of structure has become essential for every contemporary account of a scientific theory, but also for the metatheoretical accounts dealing with the adequacy of such theories and their methods. In the latter category of accounts, and in particular, the structural metamodels designed for the applicability of mathematics have struggled over the last decade to justify the use of mathematical models in sciences beyond their 'indispensability' in terms of either method or concepts/entities. In this paper, I (...) argue that these metamodels employ structures of different natures and epistemologies, and this diversity does pose a serious problem to the intended justification. (shrink)

The year 2012 marks the fiftieth anniversary of the original publication of Thomas Kuhn’s famous book, The Structure of Scientific Revolutions. Kuhn, who taught at Berkeley, Princeton and MIT following studies in physics at Harvard, was a historian of science whose ideas have had a major impact on the philosophy of science. Now in its third edition, Structure has had a lasting influence on our thinking about science. After fifty years, Kuhn’s ideas show signs of wear. But they (...) continue to shape our “image of science”, to echo Kuhn’s own turn of phrase in the opening lines of Structure. The core idea of Structure is that scientific research is based on underlying theoretical structures which provide a framework for research in a field for a sustained period of time. Kuhn’s name for these structures was paradigm. It is Kuhn’s use of the word that inserted ‘paradigm’ into the popular lexicon. His original use of the word was flexible. But he had two key points in mind. First, there is a set of beliefs about a domain of study, including generalizations and a model of how the domain is constituted, that is adopted as the basis for scientific practice in a scientific field at a time. Second, there are a number of important examples of exemplary scientific research which later scientists look back to as guiding inspiration for their own research. Examples include Copernican heliocentric astronomy, Lavoisier’s oxygen-based chemistry and Darwin’s theory of evolution by natural selection. All of these constituted paradigms for scientists working in these areas for a significant period of time, both in the sense of providing an overarching set of beliefs about the world and in the sense of providing examples of exemplary research. (shrink)

In the article, I discuss the significance of the Aristotle’s approach to education. Four aspects of his approach are of special importance: 1. the integrity of knowledge, 2. wonder as the beginning of knowledge, 3. oral communication as a specific way of accessing knowledge and operating with it, 4. knowledge as a necessary element of way of life. While nowadays the individuality is the primary value, and the accessibility of information is becoming almost absolute, these points of the Aristotle’s way (...) of teaching are becoming crucial. Taking the Aristotelian approach to teaching as a model we observe the following significant changes: information is becoming structured only if it is well organized, the ability to wonder develops the ability to ask questions correctly and to have answers which are valued and well memorized, oral communication trains memory and involves pupils into the dialogue with teacher, and knowledge itself is taken as a necessary element of the ethical way of life rather than just as additional bit of information. (shrink)

In this paper I aim to show that the philosophy of Mihai Şora can both be seen as a phenomenological treatment of being and as a general theory of being in its most rigorous sense. At least, this philosophy could be designated as a phenomenological ontology which opens up itself towards an originally metaphysical perspective based on a specific type of knowledge of the sort of “global disclosure”. I will argue too that within Şora's philosophy one can have a twofold (...) approach: one starts from what we could call the phenomenology of the “common givenness” (“ordinary/ quotidian givenness”) and then proceeds (in a phenomenological manner) to a general theory of being, which is represented in Şora's philosophy by the constitution of the model of the “sphere with the null ray”; the second commences with the treatment of the ontological model as such (the model, which is already formed, represents in the end the symbolic structure of reality), that is, from this “general theory of being” (or of the constitution of being) and then advances step by step towards various (phenomenological) applications of this ontological model to the multifaceted spheres of the domain of being (the sphere of language, of temporality, of ethics, of the social, of politics, etc.). (shrink)

In this paper the class of Fidel-structures for the paraconsistent logic mbC is studied from the point of view of Model Theory and Category Theory. The basic point is that Fidel-structures for mbC (or mbC-structures) can be seen as first-order structures over the signature of Boolean algebras expanded by two binary predicate symbols N (for negation) and O (for the consistency connective) satisfying certain Horn sentences. This perspective allows us to consider notions and results from Model Theory in order to (...) analyze the class of mbC-structures. Thus, substructures, union of chains, direct products, direct limits, congruences and quotient structures can be analyzed under this perspective. In particular, a Birkhoff-like representation theorem for mbC-structures as subdirect poducts in terms of subdirectly irreducible mbC-structures is obtained by adapting a general result for first-order structures due to Caicedo. Moreover, a characterization of all the subdirectly irreducible mbC-structures is also given. An alternative decomposition theorem is obtained by using the notions of weak substructure and weak isomorphism considered by Fidel for Cn-structures. (shrink)

Philosophy of science in the 20th century is to be considered as mostly characterized by a fundamentally systematic heuristic attitude, which looks to mathematics, and more generally to the philosophy of mathematics, for a genuinely and epistemologically legitimate form of knowledge. Rooted in this assumption, the book provides a formal reconsidering of the dynamics of scientific theories, especially in the field of the physical sciences, and offers a significant contribution to current epistemological investigations regarding the validity of using formal (especially: (...) model-theoretic) methods of analysis, as developed principally by Stegmüller, Sneed, Suppes, Moulines, “to bring the airy flights of analytical philosophy back down to earth”, to borrow Stephan Hartmann’s provocative statement. At the same time, the volume represents a comprehensive account of the epistemic content of physical theories, the logic of theory change in science, and specific (inter-)theoretical core aspects of scientific progress, particularly in the form suggested informally by Thomas Kuhn. As C. Ulises Moulines writes in the preface, “there is no other example in present-day literature (in any language) on this topic, i.e. the formal analysis of the ideographic characterization of the dynamics of theories between Kuhn’s theory of science and structural epistemology, that is as systematic and complete as Perrone’s work”. (shrink)

The purpose of the work is to form the net structure of management of the system of administrative services provision on the basis of implementation of subject-to-subject interactions between state sector and civil society. Methodology. The methodology basis for the investigation is the abstract-logical analysis of theoretical and methodological backgrounds for management of relations and interactions. For the theoretical generalization and formation of net structure, there are used scientific recommendations of Ukrainian scientists regarding the necessity to (...) implement subject-to-subject relations in the system of administrative services provision. Results. The investigations allowed confirming that the hierarchical structure of the state governance system does not give an opportunity to implement equal interaction between a subject of provision and a subject of an appeal as these relations have one – way communication and the feedback channel has a formal character. Moreover, the civil society is not considered by state sector to be a source of methods and ways to develop the system of state governance, in particular, the management system of administrative services provision. Practical meaning. The net structure of management will allow implementing the subject-subject relations in the system, under which the actions of the subject of provision – that means state sector – will be directed to the realization of rights and interests of the subjects of appeal. In their turn, apart from the performance of all legislative responsibilities that they should perform, they can carry out activities directed to the development of management activity in the system of administrative services provision and the whole system of state governance as an integral system of management. Meaning/Distinction. The provided model of the net structure will allow involving citizens in the processes of state governance and increasing the impact of the civil sector during the making of state and management decisions and, as a result, to confirm subject-to-subject positions in the relations. (shrink)

The Extended Evolutionary Synthesis (EES) debate is gaining ground in contemporary evolutionary biology. In parallel, a number of philosophical standpoints have emerged in an attempt to clarify what exactly is represented by the EES. For Massimo Pigliucci, we are in the wake of the newest instantiation of a persisting Kuhnian paradigm; in contrast, Telmo Pievani has contended that the transition to an EES could be best represented as a progressive reformation of a prior Lakatosian scientific research program, with the extension (...) of its Neo-Darwinian core and the addition of a brand-new protective belt of assumptions and auxiliary hypotheses. Here, we argue that those philosophical vantage points are not the only ways to interpret what current proposals to ‘extend’ the Modern Synthesis-derived ‘standard evolutionary theory’ (SET) entail in terms of theoretical change in evolutionary biology. We specifically propose the image of the emergent EES as a vast network of models and interweaved representations that, instantiated in diverse practices, are connected and related in multiple ways. Under that assumption, the EES could be articulated around a paraconsistent network of evolutionary theories (including some elements of the SET), as well as models, practices and representation systems of contemporary evolutionary biology, with edges and nodes that change their position and centrality as a consequence of the co-construction and stabilization of facts and historical discussions revolving around the epistemic goals of this area of the life sciences. We then critically examine the purported structure of the EES—published by Laland and collaborators in 2015—in light of our own network-based proposal. Finally, we consider which epistemic units of Evo-Devo are present or still missing from the EES, in preparation for further analyses of the topic of explanatory integration in this conceptual framework. (shrink)

Over the past few decades, cognitive science has identified several forms of reasoning that make essential use of conceptual knowledge. Despite significant theoretical and empirical progress, there is still no unified framework for understanding how concepts are used in reasoning. This paper argues that the theory of conceptual spaces is capable of filling this gap. Our strategy is to demonstrate how various inference mechanisms which clearly rely on conceptual information—including similarity, typicality, and diagnosticity-based reasoning—can be modeled using principles derived (...) from conceptual spaces. Our first topic analyzes the role of expectations in inductive reasoning and their relation to the structure of our concepts. We examine the relationship between using generic expressions in natural language and common-sense reasoning as a second topic. We propose that the strength of a generic can be described by distances between properties and prototypes in conceptual spaces. Our third topic is category-based induction. We demonstrate that the theory of conceptual spaces can serve as a comprehensive model for this type of reasoning. The final topic is analogy. We review some proposals in this area, present a taxonomy of analogical relations, and show how to model them in terms of distances in conceptual spaces. We also briefly discuss the implications of the model for reasoning with concepts in artificial systems. (shrink)

We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description Logics with linear operators that serve as a bridge between statistical learning and logical reasoning. The second is Trepan Reloaded, an ap- proach that builds post-hoc explanations of black-box classifiers in the form of decision trees enhanced by domain knowledge. Our aim is, firstly, to target (...) a model-agnostic distillation approach exemplified with these two frameworks, secondly, to study how these two frameworks interact on a theoretical level, and, thirdly, to investigate use-cases in ML and AI in a comparative manner. Specifically, we envision that user-studies will help determine human understandability of explanations generated using these two frameworks. (shrink)

In the wake of the global financial crisis of 2008, the greatest economic disaster since the Great Depression, the cover story of the July 18th 2009 issue of The Economist, entitled “What went wrong with economics,” opened with an unequivocally incriminating statement: “Of all the economic bubbles that have been pricked, few have burst more spectacularly than the reputation of economics itself.” In the months surrounding this indictment, many influential economists, including several Nobel laureates, were drawn to the same embarrassing (...) conclusion. Despite the existence of a handful of Cassandras, economists, as a group, had failed to foresee the crash. This short essay reviews the criticisms addressed to modern economic theory in the immediate aftermath of the crash. Overall, the main issues raised by critics were that (a) economists versed in the dominant models in macroeconomics and finance have been blinded to the possibility that we live in an uncertain and complex world; and (b) that the content of current economics education has sidelined many of the relevant insights to be found in the history of the discipline. This has led the critics to call for changes in the institutional structure of discipline, with a particular emphasis on the promotion of interdisciplinarity, and theoretical and methodological pluralism. (shrink)

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (Re-specified (...) SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance. (shrink)

The question of what ontological insights can be gained from the knowledge of physics (keyword: ontic structural realism) cannot obviously be completely separated from the view of physics as a science from an epistemological perspective. This is also visible in the debate about 'scientific realism'. This debate makes it clear, in the form of the importance of perception as a criterion for the assertion of existence in relation to the 'theoretical entities' of physics, that epistemology itself is 'ontologically loaded'. (...) This is in the form of the assumption that things in themselves (independent of cognition, in an autonomous way) exist as so-and-so determined ones. This ontological assumption is not only the basis of our (naive) conception of knowledge, but also its indispensable premise, insofar as this conception is a fundamentally passive, 'receptive' one. This is true to the full extent of metaphysics, and to a not much lesser extent of epistemology. The interpretation of knowledge in the sense of 'description' seems to be without alternative. In the philosophy of science, this view is reflected in the emphasis on 'objectivity' as the essence of science, in the belief in 'induction' as the traditional method of science, and (ex negativo) in the problem of the 'theory laden nature of observation'. To these paradigms of epistemology, however, a further aggravating factor is added, namely the criterion of 'subjective certainty' as evidence of 'real' knowledge (only meaningful on the basis of the ontological premise mentioned above). Thus, due to its 'expertise' in matters of knowledge, epistemology becomes the 'prima philosophia'. But what is even more important, the real, holistic cognitive situation is transformed into a linear cognitive relationship, with the consequence of the 'transcendence' of the objects. Now, on closer inspection, however, there is not too much in the expertise of epistemology, because it basically consists only of paradigms which, from the point of view of the holism of the real cognitive situation itself, are nothing more than relatively simplistic interpretations of this situation. However, we do not yet know what another conception of knowledge might look like (which is not surprising given the position of the phenomenon of knowledge in the hierarchy of phenomena according to their complexity). 'Certitude' as a criterion of cognition is thus excluded from the outset, and thus the linear relational model of cognition also appears as what it is, a gross distortion of the real, holistic situation of cognition. The significance of this argumentation with regard to physics is that the linear epistemological model of cognition itself is a major obstacle to an adequate epistemological understanding of physics. This is because it is fixed 'a priori' to an object-related concept of knowledge, and to 'description' as the only mode of ('real') knowledge. The acceptance of the real, holistic epistemological situation is therefore, in my opinion, the condition for an adequate understanding of physics' heuristic access to objects, its transcendental, generalizing epistemological concept, as well as its ontological relevance and dimension. (shrink)

The History of Ideas is presently enjoying a certain renaissance after a long period of disrepute. Increasing quantities of digitally available historical texts and the availability of computational tools for the exploration of such masses of sources, it is suggested, can be of invaluable help to historians of ideas. The question is: how exactly? In this paper, we argue that a computational history of ideas is possible if the following two conditions are satisfied: (i) Sound Method . A computational history (...) of ideas must be built upon a sound theoretical foundation for its methodology, and the only such foundation is given by the use of models , i.e., fully explicit and revisable interpretive frameworks or networks of concepts developed by the historians of ideas themselves. (ii) Data Organisation. Interpretive models in our sense must be seen as topic-specific knowledge organisation systems (KOS) implementable (i.e. formalisable) as e.g. computer science ontologies. We thus require historians of ideas to provide explicitly structured semantic framing of domain knowledge before investigating texts computationally, and to constantly re-input findings from the interpretive point of view. In this way, a computational history of ideas maximally profits from computer methods while also keeping humanities experts in the loop. We elucidate our proposal with reference to a model of the notion of axiomatic science in 18th -19th century Europe. (shrink)

Introduction: Interdisciplinary, transdisciplinary and action research of a city in lockdown. As we write this chapter, most cities across the world are subject to a similar set of measures due to the spread of COVID-19 coronavirus, which is now a global pandemic. Independent of city size, location, or history, an observer would note that almost all cities have now ground to a halt, with their citizens being confined to their private dwellings, social and public gatherings being almost entirely forbidden, and (...) commercial areas being nearly devoid of visitors. Striking as these apparent similarities are, closer scrutiny would reveal important differences between cities and within cities – differences that can be highly relevant to consider when scholars are assessing the responses of cities to this pandemic or trying to predict the consequences of those responses. For example, the public health systems in some cities are better prepared than in others for coping with the increasing number of patients in life threatening conditions. Multigenerational households, which are associated with a greater risk for elderly members, are not equally common in all cities. Tourist destinations have taken a more severe economic hit from the lockdown than those cities which are economically less dependent upon this particular source of income. Communal celebrations in one city will result in a higher number of contagions and perhaps even deaths in this situation, whereas that same social fabric generally does contribute to a population’s health. The pandemic has also had unprecedented effects on differences and inequalities within cities. In cities in the United States, neighborhoods primarily inhabited by African Americans have been disproportionately affected by COVID-19 due to living and health conditions, yet also due to the fact they disproportionately perform vital jobs. Parks and green spaces are crowded, while city centers like Amsterdam’s Red Light District have suddenly lost the bustle of tourism, providing opportunities for citizens to reoccupy scarce public spaces and reclaim ownership. Clearly, such differences between cities are in many cases only discernible to the eye of an expert, possessing the necessary background knowledge to interpret the perceptible local changes caused by the global pandemic. Typically, drawing upon his or her disciplinary training, the expert also knows how to further probe the impact of the pandemic in an appropriate way. However, compared to the usual application of expertise, this crisis situation might, in an unusual way, test even experts. For the pandemic has created a unique situation, imposing unfamiliar constraints on the health, economic, social, and other conditions of cities, constraints that interact in sometimes unexpected ways with each other. Such interactions in turn force experts to collaborate across the boundaries commonly associated with disciplines, their concepts, theories, methods, and assumptions (Klein, 1996). These brief observations of how a virus pandemic can have differential impacts upon various cities, and what this exceptional situation might mean for the application of city methods, allow us to draw a few consequences for the current context of this chapter on interdisciplinary and transdisciplinary research. First, whenever we are investigating a complex and dynamic phenomenon it is by no means easy to determine which disciplinary perspectives are required to do justice to it. Indeed, the choice of useful disciplines can only be made after an initial overview of the situation and a preliminary selection of what appear to be the most important features of the situation. Relevance is key in guiding this selection process and scholars must remain open to the possibility that they may need to revise their earlier assessments of what is relevant and what is not. Second, if scholars from different disciplines were to study different features of a city in isolation, their ‘multidisciplinary’ account would miss important dynamic and complex interactions, such as those between a city’s demographics and geographical situation, its governance and economy. In other words, it is the integration of the perspectives of different disciplines that is crucial, as only then are such interactions taken into account. Indeed, this integration between disciplinary perspectives is what distinguishes an interdisciplinary from a multidisciplinary account. Thirdly, in addition to checking the relevance of disciplines and aiming for their integration, the outcome of interdisciplinary and transdisciplinary research has typically limited generalizability. Since a city is sensitive to a multitude of internal and external dynamical factors, in ways that partly rest upon its socio-cultural history, its investigation will often have the nature of a case study rather than be capable of leading to law-like insights (Krohn, 2010; Menken & Keestra, 2016). As can be seen from these three characteristics of ascertaining the relevance of different disciplinary contributions, the challenge of their integration, and the limited generalizability of their results owing to the specificity of interdisciplinary (ID) and transdisciplinary (TD) research, such research into ‘real world problems’ is clearly distinct from most monodisciplinary research. A consequence of this distinction is the absence of a general ID/TD methodology that can guide specific case studies. By contrast, the collaboration implied in such research requires researchers – and stakeholders, if they are involved – to reflect upon their potential contribution and the implicit assumptions associated with that. We will elaborate on this in the next section. Next, we offer several typologies of integration that urban scholars could employ for their research projects, after which we will offer a few brief analyses of initial collaborations of urban research. Finally, we discuss in more detail the process of the interdisciplinary research project. This will include a brief reflection upon the decision-making process that is implied in such projects. In sum, we aim to provide some guidance in conducting an ID/TD project, albeit not in the form of a definite methodology. (shrink)

An analysis of--yet another--case of academic failure in multi- and interdisciplinarity. An editorial of the Journal of Knowledge Structures & Systems.

Epistemological contrastivism can model how infallible knowledge functions by employing the explanatory resource of structural differences between contrastive propositions, e.g., “P rather than Q”, and orthodox propositions, e.g., “P”. In doing so we notice that how this difference factors into our conception of infallible knowledge depends on two aspects: one, whether belief acts as a necessary condition for knowledge, and two, whether epistemic justification is construed as consciously internalist or non-consciously externalist. We further leverage the notion of phenomenal resolution, conceived (...) as an outcome of one’s discriminative capacities in accessing their evidence, to clarify in what sense it becomes reasonable to say that the truth of P mutually excludes the truth of Q when the latter is contrasted to the former. Importantly then, there is a way of infallibly knowing that P that is indistinguishable from infallibly knowing that P rather than Q, and a way that is not. (shrink)

The nature of linguistic understanding is a much-debated topic. Among the issues that have been discussed, two questions have recently received a lot of attention: (Q1) ‘Are states of understanding direct (i.e. represent solely what is said) or indirect (i.e. represent what is said as being said/asserted)?’ and (Q2) ‘What kind of mental attitude is linguistic understanding (e.g. knowledge, belief, seeming)?’ This paper argues that, contrary to what is commonly assumed, there is no straightforward answer to either of these questions. (...) This is because linguistic understanding cannot be identified with a single mental attitude towards a particular representation. Instead, we should characterize states of linguistic understanding as involving complex representational structures generated by a dual-stream process. The first stream operates on direct representations of what is said, while the second operates on representations of what is said as being said/asserted by a given source. Both these streams feed a situation model, i.e. a complex representation of a state of affairs described by a given piece of discourse. (shrink)

The question of what ontological insights can be gained from the knowledge of physics (keyword: ontic structural realism) cannot obviously be separated from the view of physics as a science from an epistemological perspective. This is also visible in the debate about 'scientific realism'. This debate makes it evident, in the form of the importance of perception as a criterion for the assertion of existence in relation to the 'theoretical entities' of physics, that epistemology itself is 'ontologically laden'. This (...) is in the form of the assumption that things (or entities) in themselves exist as such and such determined ones (independent of cognition, autonomously). This ontological assumption is not only the basis of our naïve understanding of cognition, but also its indispensable premise, insofar as this understanding is a fundamentally passive, 'receptive' one. Accordingly, just as 'perception' is the foundation, ('objective') description is the aim of cognition, that which cognition is about. In this sense, our idea of cognition and our idea of the things are inseparably linked. Without the ontological premise mentioned we just would not know what cognition is, but it is basically just a kind of image that we have in our minds (an assumption that helps us understand 'cognition'). Epistemology not only shares this basic assumption (which it also shares with metaphysics), but it revolves (unlike metaphysics) entirely around it by making the idea and demand of 'certainty' a condition of 'real' knowledge. As 'certainty' is a subjective criterion this entails the 'remodelling' of the real, holistic cognitive situation (to which metaphysics adheres) into a linear subject-object-relation (which results in the strict 'transcendence' of the objects). And it also establishes, due to its 'expertise' in matters of cognition, the 'primacy of epistemology' over all other sciences. Now, on closer inspection, however, the expertise of epistemology seems not all that dependable, because it basically consists only of paradigms which, from the point of view of the holism of the real cognitive situation itself, are nothing more than relatively simplistic interpretations of this situation. However, we do not yet know what another conception of cognition might look like (which is not surprising given the high rank of the phenomenon of cognition in the hierarchy of phenomena according to their complexity). 'Certainty' as a criterion of cognition is thus excluded from the outset, and thus the linear relational model of cognition appears as what it is, a gross distortion of the real, holistic cognitive situation. The significance of this argumentation with regard to physics is that the linear epistemological model of cognition itself is a major obstacle to an adequate epistemological understanding of physics. This is because it is fixed 'a priori' to an object-related concept of cognition, and to 'description' as the only mode of ('real') cognition. But physics (without questioning our naïve notion of cognition on the level of epistemology) simply works past it and its basic assumptions. Its cognitive concept (alias heuristic) is fundamentally different from that of metaphysics. The acceptance of the real, holistic cognitive situation is, in my opinion, the condition for an adequate understanding of physics' heuristic access to objects, its transcendental, generalizing cognitive concept, as well as its ontological relevance and dimension of its own. (shrink)

Modern scientific cosmology pushes the boundaries of knowledge and the knowable. This is prompting questions on the nature of scientific knowledge. A central issue is what defines a 'good' model. When addressing global properties of the Universe or its initial state this becomes a particularly pressing issue. How to assess the probability of the Universe as a whole is empirically ambiguous, since we can examine only part of a single realisation of the system under investigation: at some point, data will (...) run out. We review the basics of applying Bayesian statistical explanation to the Universe as a whole. We argue that a conventional Bayesian approach to model inference generally fails in such circumstances, and cannot resolve, e.g., the so-called 'measure problem' in inflationary cosmology. Implicit and non-empirical valuations inevitably enter model assessment in these cases. This undermines the possibility to perform Bayesian model comparison. One must therefore either stay silent, or pursue a more general form of systematic and rational model assessment. We outline a generalised axiological Bayesian model inference framework, based on mathematical lattices. This extends inference based on empirical data (evidence) to additionally consider the properties of model structure (elegance) and model possibility space (beneficence). We propose this as a natural and theoretically well-motivated framework for introducing an explicit, rational approach to theoretical model prejudice and inference beyond data. (shrink)

This original research hypothesises that the most fundamental building blocks of logical descriptions of cognitive, or knowledge, agents’ descriptions are expressible based on their conceptions (of the world). This article conceptually and logically analyses agents’ conceptions in order to offer a constructivist- based logical model for terminological knowledge. The most significant characteristic of [terminological] knowing is that there are strong interrelationships between terminological knowledge and the individualistic constructed, and to-be-constructed, models of knowledge. Correspondingly, I conceptually and logically analyse conception expressions (...) based on terminological knowledge, and I show how terminological knowledge may reasonably be assumed to be constructed based on the agents’ conceptions of the world. The focus of my model is on terminological knowledge structures, which may find applications in such diverse fields as the Semantic Web and educational/learning systems. (shrink)

In this paper we propose an informal exposition of the structure approach in the philosophy of science. Scientific knowledge is here considered as a collection of scientific theories. Each scientific theory has logico-linguistic, model-representing, pragmatic-procedural, and problem-heuristical subsystems and a subsystem of ties. The pivotal methodological concept for the exact description of these subsystems is the named set. We also outline the possibility of applying the structure-nominative approach to certain problems in the philosophy of science.

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative model (...) of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

In this book I show that science suffers from a damaging but rarely noticed methodological disease, which I call rationalistic neurosis. It is not just the natural sciences which suffer from this condition. The contagion has spread to the social sciences, to philosophy, to the humanities more generally, and to education. The whole academic enterprise, indeed, suffers from versions of the disease. It has extraordinarily damaging long-term consequences. For it has the effect of preventing us from developing traditions and institutions (...) of learning rationally devoted to helping us learn how to make progress towards a wiser, more civilized world. On our fragile earth, overcrowded, fraught with injustice, inequality and conflict, menaced by unprecedented and terrifying technological and industrial means for change and destruction, we urgently need to acquire a little more wisdom and civilization if we are to avoid repeating horrors of the kind suffered by so many during the 20th century (and already suffered by many in the first few years of the 21st century). We can ill afford to have in our hands instruments of learning botched and bungled from the standpoint of helping us learn how to live more wisely. It may seem scarcely credible that something as important as our institutions of learning can suffer from wholesale, structural defects. Why has this not been noticed before? Why have not armies of scientists and scholars appreciated the point and, long ago, put the matter right? The answer will emerge as my argument unfolds. I will show that one of the most damaging features of rationalistic neurosis is that it has built-in methodological and institutional mechanisms which effectively conceal that anything is wrong. But there is also an immediately obvious reason: specialization, and the resulting fragmentation of academia, has resulted in a situation in which hardly anyone takes responsibility for the overall ideals, the overall aims and methods, of academic inquiry. Academics, these days, are specialists, furiously trying to keep abreast of developments in their own specialist fields. They have no time, and no inducement, to lift their eyes from their particular disciplines, and look at the whole endeavour. Science has long been under attack, at least since the Romantic movement. Blake objected to “Single vision & Newton’s sleep” and declared that “Art is the Tree of Life... Science is the Tree of Death”. Keats lamented that science will “clip an Angel’s wings” and “unweave a rainbow”. Whereas the Enlightenment had valued science and reason as tools for the liberation of humanity, Romanticism found science and reason oppressive and destructive, and instead valued art, imagination, inspiration, individual genius, emotional and motivational honesty rather than careful attention to objective fact. Much subsequent opposition to science stems from, or echoes, the Romantic opposition of Blake, Wordsworth, Keats and many others. There is the movement Isaiah Berlin has described as the “Counter-Enlightenment” (Berlin, 1979, ch. 1). There is existentialism, with its denunciation of the tyranny of reason, its passionate affirmation of the value and centrality of irrationality in human life, from Dostoevsky, Kierkegaard and Nietzsche to Heidegger and Sartre (see, for example, Barrett, 1962). There is the attack on Enlightenment ideals concerning science and reason undertaken by the Frankfurt school, by postmodernists and others, from Horkheimer and Adorno to Lyotard, Foucault, Habermas, Derrida, MacIntyre and Rorty (see Gascardi, 1999). The soul-destroying consequences of valuing science and reason too highly is a persistent theme in literature: it is to be found in the works of writers such as D.H. Lawrence, Doris Lessing, Max Frisch, Y. Zamyatin. There is persistent opposition to modern science and technology, and to scientific rationality, often associated with the Romantic wing of the green movement, and given expression in such popular books as Marcuse’s One Dimensional Man, Roszak’s Where the Wasteland Ends, Berman’s The Reenchantment of the World and Appleyard’s Understanding the Present. There is the feminist critique of science and conceptions of science: see, for example, Fox Keller (1984) and Harding (1986). And there are the corrosive implications of the so-called “strong programme” in the sociology of knowledge, and of the work of social constructivist historians of science, which depict scientific knowledge as a belief system alongside many other such conflicting systems, having no more right to claim to constitute knowledge of the truth than these rivals, the scientific view of the world being no more than an elaborate myth, a social construct (see Barnes and Bloor, 1981; Bloor, 1991; Barnes, Bloor and Henry, 1996; Shapin and Schaffer, 1985; Shapin, 1994; Pickering, 1984; Latour, 1987). This latter literature has provoked a counter-attack by scientists, historians and philosophers of science seeking to defend science and traditional conceptions of scientific rationality: see Gross and Levitt (1994), Gross, Levitt and Lewis (1996), and Koertge (1998). This debate between critics and defenders of science came abruptly to public attention with the publication of Alan Sokal’s brilliant hoax article ‘Transgressing the boundaries’ in a special issue of the cultural studies journal Social Text in 1996 entitled Science Wars: see Sokal and Bricmont (1998). What does this book have to contribute, given the above avalanche of criticism of science? The criticisms of science developed in this book are diametrically opposed to the above, in so far as the above criticisms oppose scientific rationality, seek to diminish or restrict its influence, or hold that it is unattainable. My central point is that we suffer, not from too much scientific rationality, but from not enough. What is generally taken to constitute scientific rationality is actually nothing of the kind. It is rationalistic neurosis, a characteristic, influential and damaging kind of irrationality masquerading as rationality. Science is damaged by being trapped within a widely upheld but severely defective philosophy of science; free science from this defective philosophy, provide it with a more intellectually rigorous philosophy, and it will flourish in both intellectual and humanitarian terms. And more generally, as we shall see, academic inquiry as a whole is damaged by being trapped within an intellectually defective philosophy of inquiry; free it from this defective philosophy, from its rationalistic neurosis, and it will flourish in intellectual and human terms. It is not reason that is damaging, but defective pretensions to reason — rationalistic neurosis —masquerading as reason. Thus what I seek to do here is the exact opposite of what all those who oppose science and scientific rationality do. I shall argue that Reason, the authentic article, arrived at by generalizing the progress-achieving methods of science, can have profoundly liberating and enriching consequences for all worthwhile, problematic aspects of life, and thus deserves to enter into every aspect of life. The bare bones of the argument of this book can be stated quite simply like this. Science cannot proceed without making the substantial metaphysical assumption that the universe is physically comprehensible (to some extent at least). But this conflicts with the orthodox view that in science everything is assessed impartially with respect to evidence, nothing being permanently assumed independently of evidence. So the metaphysical assumption of comprehensibility is repressed. Science pretends that no such assumption is made. But this damages science. For the assumption is substantial, influential and highly problematic. It needs to be made explicit within science so that it can be critically scrutinized, so that alternatives can be developed and considered. Pretending the assumption is not being made undermines the intellectual rigour of science, its intellectual value and success. And it does not stop there. For science also makes value assumptions. Quite properly, science is concerned to discover that which is of value. New factual knowledge devoid of all value (whether intellectual or practical) does not contribute to science. But the orthodox view of science holds that values have no place within science. As in the case of metaphysics, here too, science pretends that values have no role to play within the intellectual domain of science. And this damages science. For values are, if anything, even more influential and problematic than metaphysics (in influencing the direction of research). Here too, values need to be made explicit within science so that they can be scrutinized, so that alternatives can be developed and assessed. Pretending that values play no role within the intellectual domain damages science; both the intellectual and the practical aspects of science are adversely affected. Science fails to pursue those avenues of research that lie in the best interests of humanity. And it goes further. Science is pursued in a social, cultural, economic and political context. It is a part of various social, economic and political projects which seek to achieve diverse human objectives. But the idea that science is an integral part of humanitarian or political enterprises with political ends clashes, once again, with the official view of science that the aim of science is to improve factual knowledge. The political objectives of science are repressed. And, once again, this damages science. For, of course, the political objectives of science, like all our political objectives, are profoundly problematic. These need to be made explicit so that they can be scrutinized, so that alternatives can be developed and considered. The pretence that science does not have this political dimension once again undermines the intellectual rigour of science, and its human value. It lays science open to becoming a part of economic, corporate and political enterprises that are not in the best interests of humanity. The upshot of the line of argument just indicated is that we need to bring about a revolution in the aims and methods of science, and of academic inquiry more generally. Natural science needs to change; its relationship with the rest of academic inquiry, with social inquiry and the humanities, needs to change; and most importantly and dramatically, academic inquiry as a whole needs to change. The basic task of the academic enterprise needs to become to help humanity learn how to tackle its problems of living in more cooperatively rational ways than at present. We need to put the intellectual tasks of articulating our problems of living, and proposing and critically assessing possible solutions, possible and actual actions, at the heart of academic inquiry. The basic task needs to be to help humanity learn a bit more wisdom – wisdom being the capacity to realize what is of value in life, for oneself and others, wisdom including knowledge and technological know-how, but much else besides. Natural science, despite its flaws, has massively increased our knowledge and technological know-how. This in turn has led to a massive and sometimes terrifying increase in our power to act. Often this unprecedented power to act is used for human good, as in medicine or agriculture. But it is also used to cause harm, whether unintentionally (initially at least) as when industrialization and modern agriculture lead to global warming, destruction of natural habitats and rapid extinction of species, or intentionally, as when the technology of war is used by governments and terrorists to maim and kill. Before the advent of modern science, when we lacked the means to do too much damage to ourselves and the planet, lack of wisdom did not matter too much. Now, with our unprecedented powers to act, bequeathed to us by science, lack of wisdom has become a menace. This is the crisis behind all the other current global crises: science without wisdom. In these circumstances, to continue to pursue knowledge and technological know-how dissociated from a more fundamental quest for wisdom can only deepen the crisis. As a matter of urgency, we need to free science and academia of their neuroses; we need to bring about a revolution in the academic enterprise so that the basic aim becomes to promote wisdom by intellectual and educational means. At present science and the humanities betray both reason and humanity. The argument of this book, which I have just summarized, begins with a discussion of the philosophical and methodological problems that beset theoretical physics. At once, many of those who are concerned about moral, political and environmental issues that plague our world today, will feel impatient. What have the methodological problems of theoretical physics to do with third world poverty, war and the threat of war, pollution, extinction of species, the menace of conventional, chemical, biological and nuclear armaments? I can only plead with such a reader: patience. The root cause of the sickness of our times does indeed lie, I claim, with a methodological sickness of natural science or, even more specifically, of physical science. What makes the modern world so utterly different from all previous ages is our possession of modern science and technology. This is the instrument that has changed the conditions of human life almost beyond all recognition, and put unprecedented, and sometimes terrifying, powers into our hands. One should not dismiss out of hand the suggestion that a part of our problem may lie with this instrument, this engine, of rapid change. We see, here, too, the way in which intellectual specialization, referred to above, has effectively concealed from view the nature and extent of the problem that confronts us. The argument that I shall develop in what follows begins with physics, with problems concerning the aims and methods of physics. But it then leaps to social science, to philosophy, to the humanities, to education, to psychotherapy, and to politics: in the end there is scarcely an aspect of modern life that is not touched and, potentially, affected by the argument. How many academic experts are prepared to follow, to take seriously, an argument that ranges so recklessly across such a wide range of academic disciplines? How many non-academic non-experts? But just this is what the argument and message of this book requires. I hope that the reader will endure with patience the somewhat esoteric discussion concerning the aims and methods of physics pursued in chapter one. This may not seem to have anything much to do with the urgent problems of our times, but it does. This is in part how the intellectual disaster I seek to expose in this book conceals itself from view: it buries itself in the obscure, recondite field of the philosophy of physics. Those who devote their lives to the philosophy of physics are, by and large, too myopic to see how their specialized field of study has anything to do with the great and dreadful humanitarian problems and disasters of our age; and those who are above all concerned with these humanitarian disasters have no time at all for abstruse issues concerning the aims and methods of physics. And so the connection is never made. As it happens, the methodological neurosis of physics, with which we begin in chapter one, is actually a quite simple matter to grasp. It does not require any real knowledge of physics to understand. Indeed, physicists and philosophers of physics are much more likely to find the argument difficult to follow than are non-experts. We non-scientists can stand back and see the whole wood; scientists, trained to think in terms of the current orthodox conception of science, trapped in the thickets of research, will find this much harder to do. In an attempt to take this peculiar circumstance into account, I have arranged the exposition as follows. In chapter one I give a simple exposition of the case for declaring natural science to suffer from what I call "rationalistic neurosis"; this avoids all technicalities, and goes straight to the heart of the matter. In the appendix I tackle a host of more technical objections that may be made to the elementary argument of chapter one. So, those experts in the fields of the philosophy of physics and philosophy of science who find the argument of chapter one naïve and unconvincing, should consult the appendix before tossing the book away in disgust. I write in the hope that there will be a few who will not dismiss out of hand the suggestion that the question of how we are to go about learning how to live in wiser and more civilized ways might have something to learn from scientific learning, and will take the trouble to pursue the line of argument traced out in this book. I write in the hope that these few will grasp just how desperate our situation is, how urgent the need to change the status quo, and will do everything in their power to alert others to the need to heal the methodological sickness from which our institutions and traditions of learning at present suffer. To begin with, we need a campaigning organization, modelled perhaps on "Friends of the Earth", which might be called something like "Friends of Wisdom". (shrink)