Results for 'Formal Modelling of Science'

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  1. Formal models of the scientific community and the value-ladenness of science.Vincenzo Politi - 2021 - European Journal for Philosophy of Science 11 (4):1-23.
    In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with (...)
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  2. A Model-Theoretic Interpretation of Science.Emma Ruttkamp - 1997 - South African Journal of Philosophy 16 (1):31-36.
    I am arguing that it is only by concentrating on the role of models in theory construction, interpretation and change, that one can study the progress of science sensibly. I define the level at which these models operate as a level above the purely empirical (consisting of various systems in reality) but also indeed below that of the fundamental formal theories (expressed linguistically). The essentially multi-interpretability of the theory at the general, abstract linguistic level, implies that it can (...)
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  3. Why the Reward Structure of Science Makes Reproducibility Problems Inevitable.Remco Heesen - 2018 - Journal of Philosophy 115 (12):661-674.
    Recent philosophical work has praised the reward structure of science, while recent empirical work has shown that many scientific results may not be reproducible. I argue that the reward structure of science incentivizes scientists to focus on speed and impact at the expense of the reproducibility of their work, thus contributing to the so-called reproducibility crisis. I use a rational choice model to identify a set of sufficient conditions for this problem to arise, and I argue that these (...)
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  4. Topological Models of Columnar Vagueness.Thomas Mormann - 2022 - Erkenntnis 87 (2):693 - 716.
    This paper intends to further the understanding of the formal properties of (higher-order) vagueness by connecting theories of (higher-order) vagueness with more recent work in topology. First, we provide a “translation” of Bobzien's account of columnar higher-order vagueness into the logic of topological spaces. Since columnar vagueness is an essential ingredient of her solution to the Sorites paradox, a central problem of any theory of vagueness comes into contact with the modern mathematical theory of topology. Second, Rumfitt’s recent topological (...)
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  5. Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review.Mantas Radzvilas, Francesco De Pretis, William Peden, Daniele Tortoli & Barbara Osimani - 2023 - Computational Economics 61:1433-1476.
    Contemporary debates about scientific institutions and practice feature many proposed reforms. Most of these require increased efforts from scientists. But how do scientists’ incentives for effort interact? How can scientific institutions encourage scientists to invest effort in research? We explore these questions using a game-theoretic model of publication markets. We employ a base game between authors and reviewers, before assessing some of its tendencies by means of analysis and simulations. We compare how the effort expenditures of these groups interact in (...)
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  6. Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more (...)
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  7. Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez-­‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more (...)
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  8.  87
    Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez-­‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more (...)
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  9.  25
    Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez-­‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more (...)
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  10. Spinoza's Essentialist Model of Causation.Valtteri Viljanen - 2008 - Inquiry: An Interdisciplinary Journal of Philosophy 51 (4):412 – 437.
    Spinoza is most often seen as a stern advocate of mechanistic efficient causation, but examining his philosophy in relation to the Aristotelian tradition reveals this view to be misleading: some key passages of the Ethics resemble so much what Surez writes about emanation that it is most natural to situate Spinoza's theory of causation not in the context of the mechanical sciences but in that of a late scholastic doctrine of the emanative causality of the formal cause; as taking (...)
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  11. Landscapes and Bandits: A Unified Model of Functional and Demographic Diversity.Alice C. W. Huang - forthcoming - Philosophy of Science.
    Two types of formal models - landscape search tasks and two-armed bandit models - are often used to study the effects that various social factors have on epistemic performance. I argue that they can be understood within a single framework. In this unified framework, I develop a model that may be used to understand the effects of functional and demographic diversity and their interaction. Using the unified model, I find that the benefit of demographic diversity is most pronounced in (...)
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  12. Normative Formal Epistemology as Modelling.Joe Roussos - forthcoming - The British Journal for the Philosophy of Science.
    I argue that normative formal epistemology (NFE) is best understood as modelling, in the sense that this is the reconstruction of its methodology on which NFE is doing best. I focus on Bayesianism and show that it has the characteristics of modelling. But modelling is a scientific enterprise, while NFE is normative. I thus develop an account of normative models on which they are idealised representations put to normative purposes. Normative assumptions, such as the transitivity of (...)
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  13. A Formal Model of Metaphor in Frame Semantics.Vasil Penchev - 2015 - In Proceedings of the 41st Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour. New York: Curran Associates, Inc.. pp. 187-194.
    A formal model of metaphor is introduced. It models metaphor, first, as an interaction of “frames” according to the frame semantics, and then, as a wave function in Hilbert space. The practical way for a probability distribution and a corresponding wave function to be assigned to a given metaphor in a given language is considered. A series of formal definitions is deduced from this for: “representation”, “reality”, “language”, “ontology”, etc. All are based on Hilbert space. A few statements (...)
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  14. Human reasoning and cognitive science.Keith Stenning & Michiel van Lambalgen - 2008 - Boston, USA: MIT Press.
    In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of logic current in (...)
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  15. What is this thing called Philosophy of Science? A computational topic-modeling perspective, 1934–2015.Christophe Malaterre, Jean-François Chartier & Davide Pulizzotto - 2019 - Hopos: The Journal of the International Society for the History of Philosophy of Science 9 (2):215-249.
    What is philosophy of science? Numerous manuals, anthologies or essays provide carefully reconstructed vantage points on the discipline that have been gained through expert and piecemeal historical analyses. In this paper, we address the question from a complementary perspective: we target the content of one major journal of the field—Philosophy of Science—and apply unsupervised text-mining methods to its complete corpus, from its start in 1934 until 2015. By running topic-modeling algorithms over the full-text corpus, we identified 126 key (...)
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  16. Simulation as formal and generative social science: the very idea.Nuno David, Jaime Sichman & Helder Coelho - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science and Us: Philosophy and Complexity. World Scientific. pp. 266--275.
    The formal and empirical-generative perspectives of computation are demonstrated to be inadequate to secure the goals of simulation in the social sciences. Simulation does not resemble formal demonstrations or generative mechanisms that deductively explain how certain models are sufficient to generate emergent macrostructures of interest. The description of scientific practice implies additional epistemic conceptions of scientific knowledge. Three kinds of knowledge that account for a comprehensive description of the discipline were identified: formal, empirical and intentional knowledge. The (...)
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  17. La dinamica delle teorie scientifiche. Strutturalismo ed interpretazione logico-formale dell’epistemologia di Kuhn, with a preface of C. Ulises Moulines.Tommaso Perrone - 2012 - Franco Angeli.
    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 (...)
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  18. 50 Years of Successful Predictive Modeling Should Be Enough: Lessons for Philosophy of Science.Michael A. Bishop & J. D. Trout - 2002 - Philosophy of Science 69 (S3):S197-S208.
    Our aim in this paper is to bring the woefully neglected literature on predictive modeling to bear on some central questions in the philosophy of science. The lesson of this literature is straightforward: For a very wide range of prediction problems, statistical prediction rules (SPRs), often rules that are very easy to implement, make predictions than are as reliable as, and typically more reliable than, human experts. We will argue that the success of SPRs forces us to reconsider our (...)
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  19. Models, information and meaning.Marc Artiga - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 82:101284.
    There has recently been an explosion of formal models of signalling, which have been developed to learn about different aspects of meaning. This paper discusses whether that success can also be used to provide an original naturalistic theory of meaning in terms of information or some related notion. In particular, it argues that, although these models can teach us a lot about different aspects of content, at the moment they fail to support the idea that meaning just is some (...)
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  20. A Formal Model of Primitive Aspects of Cognition and Learning in Cell Biology as a Generalizable Case Study of Peircean Logic.Timothy M. Rogers - manuscript
    A formal model of the processes of digestion in a hypothetical cell is developed and discussed as a case study of how the threefold logic of Peircean semiotics works within Rosen’s paradigm of relational ontology. The formal model is used to demonstrate several fundamental differences between a relational description of biological processes and a mechanistic description. The formal model produces a logic of embodied generalization that is mediated and determined by the cell through its interactions with the (...)
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  21. All science as rigorous science: the principle of constructive mathematizability of any theory.Vasil Penchev - 2020 - Logic and Philosophy of Mathematics eJournal 12 (12):1-15.
    A principle, according to which any scientific theory can be mathematized, is investigated. Social science, liberal arts, history, and philosophy are meant first of all. That kind of theory is presupposed to be a consistent text, which can be exhaustedly represented by a certain mathematical structure constructively. In thus used, the term “theory” includes all hypotheses as yet unconfirmed as already rejected. The investigation of the sketch of a possible proof of the principle demonstrates that it should be accepted (...)
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  22. Framework for Models and Simulations with Agents in regard to Agent Simulations in Social Sciences: Emulation and Simulation.Franck Varenne - 2010 - In Alexandre Muzy, David R. C. Hill & Bernard P. Zeigler (eds.), Activity-Based Modeling and Simulation. Presses Universitaires Blaise-Pascal.
    The aim of this paper is to discuss the “Framework for M&S with Agents” (FMSA) proposed by Zeigler et al. [2000, 2009] in regard to the diverse epistemological aims of agent simulations in social sciences. We first show that there surely are great similitudes, hence that the aim to emulate a universal “automated modeler agent” opens new ways of interactions between these two domains of M&S with agents. E.g., it can be shown that the multi-level conception at the core of (...)
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  23. Broken brakes and dreaming drivers: the heuristic value of causal models in the law.Enno Fischer - 2024 - European Journal for Philosophy of Science 14 (1):1-20.
    Recently, there has been an increased interest in employing model-based definitions of actual causation in legal inquiry. The formal precision of such approaches promises to be an improvement over more traditional approaches. Yet model-based approaches are viable only if suitable models of legal cases can be provided, and providing such models is sometimes difficult. I argue that causal-model-based definitions benefit legal inquiry in an indirect way. They make explicit the causal assumptions that need to be made plausible to defend (...)
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  24. Universities of the Third Age in Poland. Emerging Model for 21st Century.Andrzej Klimczuk - 2013 - Journal of Education, Psychology and Social Sciences 1 (2):8--14.
    Main objective of this paper is to describe emergence of a Polish Universities of the Third Age model. These are a multidisciplinary non-formal education centers, which allow formation of positive responses to the challenges of an ageing population. Article indicates main organizational changes of these institutions conditioned by internal and external factors. Essay describes transformation, differentiation factors, and characteristics of these institutions for elderly based on a critical analysis of literature.
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  25. Modelling Equivalent Definitions of Concepts.Daniele Porello - 2015 - In Modeling and Using Context - 9th International and Interdisciplinary Conference, {CONTEXT} 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings. Lecture Notes in Computer Science 9405. pp. 506-512.
    We introduce the notions of syntactic synonymy and referential syn- onymy due to Moschovakis. Those notions are capable of accounting for fine- grained aspects of the meaning of linguistic expressions, by formalizing the Fregean distinction between sense and denotation. We integrate Moschovakis’s theory with the theory of concepts developed in the foundational ontology DOLCE, in order to enable a formal treatment of equivalence between concepts.
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  26. Vertical precedents in formal models of precedential constraint.Gabriel L. Broughton - 2019 - Artificial Intelligence and Law 27 (3):253-307.
    The standard model of precedential constraint holds that a court is equally free to modify a precedent of its own and a precedent of a superior court—overruling aside, it does not differentiate horizontal and vertical precedents. This paper shows that no model can capture the U.S. doctrine of precedent without making that distinction. A precise model is then developed that does just that. This requires situating precedent cases in a formal representation of a hierarchical legal structure, and adjusting the (...)
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  27. Strengths and Limitations of Formal Ontologies in the Biomedical Domain.Barry Smith - 2009 - Electronic Journal of Communication, Information and Innovation in Health 3 (1):31-45.
    We propose a typology of representational artifacts for health care and life sciences domains and associate this typology with different kinds of formal ontology and logic, drawing conclusions as to the strengths and limitations for ontology in a description logics framework. The four types of domain representation we consider are: (i) lexico-semantic representation, (ii) representation of types of entities, (iii) representations of background knowledge, and (iv) representation of individuals. We advocate a clear distinction of the four kinds of representation (...)
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  28. Introduction: Formal approaches to multi-agent systems: Special issue of best papers of FAMAS 2007.B. Dunin-Keplicz & R. Verbrugge - 2013 - Logic Journal of the IGPL 21 (3):309-310.
    Over the last decade, multi-agent systems have come to form one of the key tech- nologies for software development. The Formal Approaches to Multi-Agent Systems (FAMAS) workshop series brings together researchers from the fields of logic, theoreti- cal computer science and multi-agent systems in order to discuss formal techniques for specifying and verifying multi-agent systems. FAMAS addresses the issues of logics for multi-agent systems, formal methods for verification, for example model check- ing, and formal approaches (...)
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  29. The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs.Nuno David, Jaime Sichman & Helder Coleho - 2005 - Journal of Artificial Societies and Social Simulation 8 (4).
    The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. (...)
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  30. Reality in science.Emma Ruttkamp - 1999 - South African Journal of Philosophy 18 (2):149-191.
    One way in which to address the intriguing relations between science and reality is to work via the models (mathematical structures) of formal scientific theories which are interpretations under which these theories turn out to be true. The so-called 'statement approach' to scientific theories -- characteristic for instance of Nagel, Carnap, and Hempel --depicts theories in terms of 'symbolic languages' and some set of 'correspondence rules' or 'definition principles'. The defenders of the oppositionist non-statement approach advocate an analysis (...)
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  31. Dismantling the deficit model of science communication using Ludwik Fleck’s theory of thinking collectives.Victoria M. Wang - forthcoming - In Jonathan Y. Tsou, Shaw Jamie & Carla Fehr (eds.), Values, Pluralism, and Pragmatism: Themes from the Work of Matthew J. Brown. Cham: Boston Studies in the Philosophy and History of Science. Springer.
    Numerous societal issues, from climate change to pandemics, require public engagement with scientific research. Such engagement reveals challenges that can arise when experts communicate with laypeople. One of the most common frameworks for framing these communicative interactions is the deficit model of science communication, which holds that laypeople lack scientific knowledge and/or positive attitudes towards science, and that imparting knowledge will fill knowledge gaps, lead to desirable attitude/behavior changes, and increase trust in science. §1 introduces the deficit (...)
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  32. A probabilistic framework for analysing the compositionality of conceptual combinations.Peter Bruza, Kirsty Kitto, Brentyn Ramm & Laurianne Sitbon - 2015 - Journal of Mathematical Psychology 67:26-38.
    Conceptual combination performs a fundamental role in creating the broad range of compound phrases utilised in everyday language. This article provides a novel probabilistic framework for assessing whether the semantics of conceptual combinations are compositional, and so can be considered as a function of the semantics of the constituent concepts, or not. While the systematicity and productivity of language provide a strong argument in favor of assuming compositionality, this very assumption is still regularly questioned in both cognitive science and (...)
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  33. Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff’s Laws.Julio Michael Stern - 2014 - Axioms 109:109-118.
    This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are used in related articles to develop and illustrate the operation of ontology alignment algorithms and to discuss closely connected issues concerning the epistemological and statistical significance of sharp or precise hypotheses in empirical science.
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  34. Dialectical Contradictions and Classical Formal Logic.Inoue Kazumi - 2014 - International Studies in the Philosophy of Science 28 (2):113-132.
    A dialectical contradiction can be appropriately described within the framework of classical formal logic. It is in harmony with the law of noncontradiction. According to our definition, two theories make up a dialectical contradiction if each of them is consistent and their union is inconsistent. It can happen that each of these two theories has an intended model. Plenty of examples are to be found in the history of science.
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  35. Updating the descriptive biopsychosocial approach to fit into a formal person-centered dynamic coherence model.Thomas Froehlich & Arbogast Schmitt - 2016 - European Journal for Person Centered Healthcare 4 (3):545-578.
    Based on the Aristotelian dynamis-energeia-differentiation, a concept issuing dynamic coherence providers as the sub-level of individual realizations. This logical sub-level is given for any kind of realizations. Based on this two-level approach, to some degree similar to the two-level approach developed by Polanyi, model of biopsychosocial interaction is established. It is suggested as the theoretical basis for a person-centered approach in healthcare, integrating science and humanitites.
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  36. Who Cares about Axiomatization? Representation, Invariance, and Formal Ontologies.R. Ferrario - 2006 - Epistemologia 29 (2):323-342.
    The philosophy of science of Patrick Suppes is centered on two important notions that are part of the title of his recent book (Suppes 2002): Representation and Invariance. Representation is important because when we embrace a theory we implicitly choose a way to represent the phenomenon we are studying. Invariance is important because, since invariants are the only things that are constant in a theory, in a way they give the “objective” meaning of that theory. Every scientific theory gives (...)
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  37. Beyond Formal Structure: A Mechanistic Perspective on Computation and Implementation.Marcin Miłkowski - 2011 - Journal of Cognitive Science 12 (4):359-379.
    In this article, after presenting the basic idea of causal accounts of implementation and the problems they are supposed to solve, I sketch the model of computation preferred by Chalmers and argue that it is too limited to do full justice to computational theories in cognitive science. I also argue that it does not suffice to replace Chalmers’ favorite model with a better abstract model of computation; it is necessary to acknowledge the causal structure of physical computers that is (...)
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  38. Carnap's Formal Philosophy of Science.Hans P. Halvorson - forthcoming - In Christian Dambock & Georg Schiemer (eds.), Rudolf Carnap Handbuch. Metzler Verlag.
    A brief review of Carnap's formal program in philosophy of science.
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  39. Modeling the invention of a new inference rule: The case of ‘Randomized Clinical Trial’ as an argument scheme for medical science.Jodi Schneider & Sally Jackson - 2018 - Argument and Computation 9 (2):77-89.
    A background assumption of this paper is that the repertoire of inference schemes available to humanity is not fixed, but subject to change as new schemes are invented or refined and as old ones are obsolesced or abandoned. This is particularly visible in areas like health and environmental sciences, where enormous societal investment has been made in finding ways to reach more dependable conclusions. Computational modeling of argumentation, at least for the discourse in expert fields, will require the possibility of (...)
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  40. An Artifactual Perspective on Idealization: Constant Capacitance and the Hodgkin and Huxley Model.Natalia Carrillo & Tarja Knuuttila - 2021 - In Alejandro Cassini & Juan Redmond (eds.), Models and Idealizations in Science: Fictional and Artefactual Approaches. Cham: Springer.
    There are two traditions of thinking about idealization offering almost opposite views on their functioning and epistemic status. While one tradition views idealizations as epistemic deficiencies, the other one highlights the epistemic benefits of idealization. Both of these, however, identify idealization with misrepresentation. In this article, we instead approach idealization from the artifactual perspective, comparing it to the distortion-to-reality accounts of idealization, and exemplifying it through the case of the Hodgkin and Huxley model of nerve impulse. From the artifactual perspective, (...)
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  41. Epistemological status of rationality principles in the social sciences: a structural invariance criterion.Jeremy Attard - manuscript
    In the social sciences, within the explanatory paradigm of structural individualism, a theory of action – like rational choice theory – models how individuals behave and interact at the micro level in order to explain macro observations as the aggregation of these individuals actions. A central epistemological issue is that such theoretical models are stuck in a dilemma between falsity of their basic assumptions and triviality of their explanation. On the one hand, models which have a great empirical success often (...)
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  42. Against the realistic interpretation of the Theory of Relativity.Spyridon Kakos - 2019 - Harmonia Philosophica.
    The Theory of Relativity has been portrayed as a theory that redefined the way we look at the cosmos, enabling us to unlock the reality we live in. Its proponents are constantly reminding us of how Einstein managed to reveal the true nature of the universe with his groundbreaking theory, which has been proved multiple times until now. Yet, philosophy of science teaches us that no theory has any privileged connection with what we call reality per se. The role (...)
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  43. Non-deterministic algebraization of logics by swap structures1.Marcelo E. Coniglio, Aldo Figallo-Orellano & Ana Claudia Golzio - 2020 - Logic Journal of the IGPL 28 (5):1021-1059.
    Multialgebras have been much studied in mathematics and in computer science. In 2016 Carnielli and Coniglio introduced a class of multialgebras called swap structures, as a semantic framework for dealing with several Logics of Formal Inconsistency that cannot be semantically characterized by a single finite matrix. In particular, these LFIs are not algebraizable by the standard tools of abstract algebraic logic. In this paper, the first steps towards a theory of non-deterministic algebraization of logics by swap structures are (...)
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  44. The Artificial Intelligence Explanatory Trade-Off on the Logic of Discovery in Chemistry.José Ferraz-Caetano - 2023 - Philosophies 8 (2):17.
    Explanation is a foundational goal in the exact sciences. Besides the contemporary considerations on ‘description’, ‘classification’, and ‘prediction’, we often see these terms in thriving applications of artificial intelligence (AI) in chemistry hypothesis generation. Going beyond describing ‘things in the world’, these applications can make accurate numerical property calculations from theoretical or topological descriptors. This association makes an interesting case for a logic of discovery in chemistry: are these induction-led ventures showing a shift in how chemists can problematize research questions? (...)
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  45. Comparer les modèles à l’aide du vecteur caractéristique : fonction, nature, principe et usage des modèles.Franck Varenne - 2022 - Natures Sciences Sociétés 30 (1):93-102.
    In the context of pluralization, sophistication, and combination of formal models, it is becoming difficult to propose uniform – or even comparable – model comparison practices. This paper outlines a broad and classificatory comparative epistemology of models. The aim of this epistemology is to propose applicable, and if necessary rectifiable, conceptual tools that can be useful to modellers as well as to historians and epistemologists. The notion of model characteristic vector – incorporating concepts of function, nature, principle and use (...)
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  46. Communism and the Incentive to Share in Science.Remco Heesen - 2017 - Philosophy of Science 84 (4):698-716.
    The communist norm requires that scientists widely share the results of their work. Where did this norm come from, and how does it persist? Michael Strevens provides a partial answer to these questions by showing that scientists should be willing to sign a social contract that mandates sharing. However, he also argues that it is not in an individual credit-maximizing scientist's interest to follow this norm. I argue against Strevens that individual scientists can rationally conform to the communist norm, even (...)
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  47. Clarifying the conception of consciousness: Lonergan, Chalmers, and confounded epistemology.Daniel A. Helminiak - 2015 - Dialogues in Philosophy, Mental and Neuro Sciences 8 (2):59-74.
    Applying Bernard Lonergan's (1957/1992, 1972) analysis of intentional consciousness and its concomitant epistemology, this paper highlights epistemological confusion in contemporary consciousness studies as exemplified mostly in David Chalmers's (1996) position. In ideal types, a first section outlines two epistemologies-sensate-modeled and intelligence-based-whose difference significantly explains the different positions. In subsequent sections, this paper documents the sensate-modeled epistemology in Chalmers's position and consciousness studies in general. Tellingly, this model of knowing is at odds with the formal-operational theorizing in twentieth-century science. (...)
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  48. Informational Model of Consciousness: From Philosophic Concepts to an Information Science of Consciousness.Florin Gaiseanu - 2019 - Philosophy Study J 9 (4):181-196.
    On the long and well-worn road of many, but justifiable attempts of human to discover his origin, his trajectory as a species, and a suitable understanding consciousness, his system allowing the connection to the environment and to his own organism, the concepts and models of philosophy enunciated or experienced by millennia, meet today with modern science concepts of physics and of science of information. Based on recent discoveries of quantum physics and astrophysics, revealing a new understanding of our (...)
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  49. Brains, trains, and ethical claims: Reassessing the normative implications of moral dilemma research.Michael T. Dale & Bertram Gawronski - 2023 - Philosophical Psychology 36 (1):109-133.
    Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory (...)
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  50. SUSY in the Sky of Diamonds.Rinat M. Nugayev - 2001 - In Michael Ciaran Duffy & Mogens True Wegener (eds.), Recent Advances in Relativity Theory. Hadronic Press. pp. 193-195.
    The host of SUSY(supersymmetry) based string theories is considered. Superstrings are comprehended as possible candidates on Quantum Gravity basic objects. It is argued that superstring theories constitute mainly mathematical progress and can reconcile general relativity with quantum field theory at best. Yet they cannot provide the genuine synthesis. Superstring unification of all the four forces at hand is a formal one . It is contended that genesis and proliferation of superstrings can better be described not by philosophy of (...) models but in terms of modern sociology of science. The formal character of gravity and quantum fields fusion and the lack of experimental verification make the transition to superstring theories ad hoc in Lakatosian standards. Possible way of explanation is proposed based on social interests conception of Andrew Pickering. -/- Key words: superstrings, unification, Kaluza-Klein, sociology of science . (shrink)
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