Results for 'Credibility of Models'

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  1. MISSing the World. Models as Isolations and Credible Surrogate Systems.Uskali Mäki - 2009 - Erkenntnis 70 (1):29-43.
    This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and (...)
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  2. Is credibility a guide to possibility? A challenge for toy models in science.Ylwa Sjölin Wirling - 2021 - Analysis 81 (3):470-478.
    Several philosophers of science claim that scientific toy models afford knowledge of possibility, but answers to the question of why toy models can be expected to competently play this role are scarce. The main line of reply is that toy models support possibility claims insofar as they are credible. I raise a challenge for this credibility-thesis, drawing on a familiar problem for imagination-based modal epistemologies, and argue that it remains unanswered in the current literature. The (...)-thesis has a long way to go if it is to account for the epistemic merits of toy models. (shrink)
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  3. The phylogeography debate and the epistemology of model-based evolutionary biology.Alfonso Arroyo-Santos, Mark E. Olson & Francisco Vergara-Silva - 2014 - Biology and Philosophy 29 (6):833-850.
    Phylogeography, a relatively new subdicipline of evolutionary biology that attempts to unify the fields of phylogenetics and population biology in an explicit geographical context, has hosted in recent years a highly polarized debate related to the purported benefits and limitations that qualitative versus quantitative methods might contribute or impose on inferential processes in evolutionary biology. Here we present a friendly, non-technical introduction to the conflicting methods underlying the controversy, and exemplify it with a balanced selection of quotes from the primary (...)
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  4. Credible Futures.Andrea Iacona & Samuele Iaquinto - 2021 - Synthese 199:10953-10968.
    This paper articulates in formal terms a crucial distinction concerning future contingents, the distinction between what is true about the future and what is reasonable to believe about the future. Its key idea is that the branching structures that have been used so far to model truth can be employed to define an epistemic property, credibility, which we take to be closely related to knowledge and assertibility, and which is ultimately reducible to probability. As a result, two kinds of (...)
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  5. Agent-Based Models and Simulations in Economics and Social Sciences: from conceptual exploration to distinct ways of experimenting.Franck Varenne & Denis Phan - 2008 - In Nuno David, José Castro Caldas & Helder Coelho (eds.), Proceedings of the 3rd EPOS congress (Epistemological Perspectives On Simulations). pp. 51-69.
    Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, (...)
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  6. 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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  7. Coherence and correspondence in the network dynamics of belief suites.Patrick Grim, Andrew Modell, Nicholas Breslin, Jasmine Mcnenny, Irina Mondescu, Kyle Finnegan, Robert Olsen, Chanyu An & Alexander Fedder - 2017 - Episteme 14 (2):233-253.
    Coherence and correspondence are classical contenders as theories of truth. In this paper we examine them instead as interacting factors in the dynamics of belief across epistemic networks. We construct an agent-based model of network contact in which agents are characterized not in terms of single beliefs but in terms of internal belief suites. Individuals update elements of their belief suites on input from other agents in order both to maximize internal belief coherence and to incorporate ‘trickled in’ elements of (...)
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  8. Trust Me: News, Credibility Deficits, and Balance.Carrie Figdor - 2019 - In Joe Saunders & Carl Fox (eds.), Media Ethics, Free Speech, and the Requirements of Democracy. Routledge. pp. 69-86.
    When a society is characterized by a climate of distrust, how does this impact the professional practices of news journalism? I focus on the practice of balance, or fair presentation of both sides in a story. I articulate a two-step model of how trust modulates the acceptance of tes-timony and draw out its implications for justifying the practice of balance.
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  9. What does a Computer Simulation prove? The case of plant modeling at CIRAD.Franck Varenne - 2001 - In N. Giambiasi & C. Frydman (eds.), Simulation in industry - ESS 2001, Proc. of the 13th European Simulation Symposium. Society for Computer Simulation (SCS).
    The credibility of digital computer simulations has always been a problem. Today, through the debate on verification and validation, it has become a key issue. I will review the existing theses on that question. I will show that, due to the role of epistemological beliefs in science, no general agreement can be found on this matter. Hence, the complexity of the construction of sciences must be acknowledged. I illustrate these claims with a recent historical example. Finally I temperate this (...)
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  10. Full Bayesian Significance Test Applied to Multivariate Normal Structure Models.Marcelo de Souza Lauretto, Carlos Alberto de Braganca Pereira, Julio Michael Stern & Shelemiahu Zacks - 2003 - Brazilian Journal of Probability and Statistics 17:147-168.
    Abstract: The Pull Bayesian Significance Test (FBST) for precise hy- potheses is applied to a Multivariate Normal Structure (MNS) model. In the FBST we compute the evidence against the precise hypothesis. This evi- dence is the probability of the Highest Relative Surprise Set (HRSS) tangent to the sub-manifold (of the parameter space) that defines the null hypothesis. The MNS model we present appears when testing equivalence conditions for genetic expression measurements, using micro-array technology.
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  11. AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies.James Brusseau - manuscript
    Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks (...)
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  12.  27
    Epistemic virtues of harnessing rigorous machine learning systems in ethically sensitive domains.Thomas F. Burns - 2023 - Journal of Medical Ethics 49 (8):547-548.
    Some physicians, in their care of patients at risk of misusing opioids, use machine learning (ML)-based prediction drug monitoring programmes (PDMPs) to guide their decision making in the prescription of opioids. This can cause a conflict: a PDMP Score can indicate a patient is at a high risk of opioid abuse while a patient expressly reports oppositely. The prescriber is then left to balance the credibility and trust of the patient with the PDMP Score. Pozzi1 argues that a prescriber (...)
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  13. Naturalness and the Forward-Looking Justification of Scientific Principles.Enno Fischer - 2023 - Philosophy of Science 90 (5):1050 - 1059.
    It has been suggested that particle physics has reached the "dawn of the post-naturalness era." I provide an explanation of the current shift in particle physicists' attitude towards naturalness. I argue that the naturalness principle was perceived to be supported by the theories it has inspired. The potential coherence between major beyond the Standard Model (BSM) proposals and the naturalness principle led to an increasing degree of credibility of the principle among particle physicists. The absence of new physics at (...)
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  14. On the Possibility of Testimonial Justice.Rush T. Stewart & Michael Nielsen - 2020 - Australasian Journal of Philosophy 98 (4):732-746.
    Recent impossibility theorems for fair risk assessment extend to the domain of epistemic justice. We translate the relevant model, demonstrating that the problems of fair risk assessment and just credibility assessment are structurally the same. We motivate the fairness criteria involved in the theorems as also being appropriate in the setting of testimonial justice. Any account of testimonial justice that implies the fairness/justice criteria must be abandoned, on pain of triviality.
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  15. 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. We demonstrate (...)
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  16. The Revolution of 1917 — the 1920s and the History of Social and Political Thought from Ivan Lysiak-Rudnytsky’s Perspective.Serhii Yosypenko - 2017 - Kyiv-Mohyla Humanities Journal 4:53-66.
    Prominent Ukrainian historian Ivan Lysiak-Rudnytsky (1919–1984) repeatedly addressed the topic of the Ukrainian revolution of 1917 – the 1920s, especially considering its intellectual origins and implications in the context of the history of Ukrainian social and political thought. Analysis of his works shows the manner in which the Ukrainian revolution as an event structures the history of Ukrainian social and political thought in both senses of the term “history”: as history itself and as its historiography. Based on this analysis, the (...)
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  17.  37
    ‘Blessed are the breadmakers...’: Sociophobia, digital society and the enduring relevance of technological determinism.Gregory Morgan Swer - 2023 - South African Journal of Philosophy 42 (4):315-327.
    Technological determinism, as a position on the nature and effects of technology/technologies can be divided into optimistic and critical forms. The optimistic variety, of which contemporary cyber-utopianism is an instance, holds that the development of technology shapes or at least facilitates ameliorative alterations in society. The critical variety, on the other hand, tends to problematise or condemn the positive narrative of technological impact on human existence. Whilst the optimistic form still retains some academic credibility, especially concerning digital technologies, the (...)
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  18. People, posts, and platforms: reducing the spread of online toxicity by contextualizing content and setting norms.Isaac Record & Boaz Miller - 2022 - Asian Journal of Philosophy 1 (2):1-19.
    We present a novel model of individual people, online posts, and media platforms to explain the online spread of epistemically toxic content such as fake news and suggest possible responses. We argue that a combination of technical features, such as the algorithmically curated feed structure, and social features, such as the absence of stable social-epistemic norms of posting and sharing in social media, is largely responsible for the unchecked spread of epistemically toxic content online. Sharing constitutes a distinctive communicative act, (...)
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  19. On the Integration of Populism into the Democratic Public Sphere.Gheorghe-Ilie Farte - 2017 - Argumentum. Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric 15 (2):87-109.
    The central thesis of this article is that populism is a side effect of liberal democracy and a reliable indicator of the relationship between liberal democracy and its polar opposite ‒ illiberal majoritarianism. As long as liberal democracy prevails over illiberal majoritarianism, populism remains dormant. Populism rises and becomes conspicuous only if certain manifestations of illiberal majoritarianism or illiberal elitism reach a critical point in terms of number and impact. More exactly, populism becomes active when there are too few reasonable (...)
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  20. Terrorism Undermines the Credibility of Moral Relativism.Vicente Medina - 2016 - Telos: Critical Theory of the Contemporary.
    The adage, “one person’s terrorist is another person’s freedom fighter,” is offered as a plausible example of evoking moral relativism. Moral relativists recognize no transcultural moral facts. So, for them, even the concept of harm would be subjective or context-sensitive. Yet one can appeal to cogent transcultural moral reasons to distinguish between deliberately and unjustifiably harming impeccably innocent people and those who might engage in justifiably harming those guilty of grave crimes. In the face of the preventable evil acts that (...)
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  21. Inclusive Education: The Forms of Violation of Children’s Rights and School Dropouts in the Kadey Division: East Region of Cameroon.Maurice Ndjouma - 2020 - International Journal of Scientific Research and Management (IJSRM) 8 (4):1-6.
    Article 8 of the African Aspirations for 2063 stipulates that the African people are confident that their countries have the ability and competence to realize or accomplish their full potential in development, culture, and peace. The vast majority of countries in Africa have worked toward establishing flourishing, inclusive, successful and prosperous societies by eradicating any forms of violation of children’s rights (African Union Commission, 2015). Nevertheless, violation of children’s rights remains present in most developing countries including the country of Cameroon. (...)
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  22. Layers of Models in Computer Simulations.Thomas Boyer-Kassem - 2014 - International Studies in the Philosophy of Science 28 (4):417-436.
    I discuss here the definition of computer simulations, and more specifically the views of Humphreys, who considers that an object is simulated when a computer provides a solution to a computational model, which in turn represents the object of interest. I argue that Humphreys's concepts are not able to analyse fully successfully a case of contemporary simulation in physics, which is more complex than the examples considered so far in the philosophical literature. I therefore modify Humphreys's definition of simulation. I (...)
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  23. The self-criticism of science.Alexis Karpouzos (ed.) - 2013 - Think Lab.
    The contemporary philosophy of science (epistemology) featuring K.Popper, T.Kuhn, I.Lakatos, P.Feyerabend, Hanson among others, has exercised a decisive critique to the dominant views of the positivist and neo-positivist model of knowledge and has in fact undermined its credibility.
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  24. Kinds of Models.Adam Morton & Mauricio Suárez - 2001 - In Malcolm G. Anderson & Paul D. Bates (eds.), Model Validation: perspectives in hydrological science. Wiley. pp. 11-22.
    We separate metaphysical from epistemic questions in the evaluation of models, taking into account the distinctive functions of models as opposed to theories. The examples a\are very varied.
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  25. Political Poverty as the Loss of Experiential Freedom.Joonas S. Martikainen - 2021 - Dissertation, University of Helsinki
    The purpose of this dissertation is to design a conception of political poverty that can address the loss of the experience of political freedom. This form of political poverty is described as separate from poverty of resources and opportunities, and poverty of capabilities required for participation. The study aims to make intelligible how a person or a group can suffer from a diminishing and fracturing of social experience, which can lead to the inability to experience oneself as a capable and (...)
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  26. The Nature of Model-World Comparisons.Fiora Salis - 2016 - The Monist 99 (3):243-259.
    Upholders of fictionalism about scientific models have not yet successfully explained how scientists can learn about the real world by making comparisons between models and the real phenomena they stand for. In this paper I develop an account of model-world comparisons in terms of what I take to be the best antirealist analyses of comparative claims that emerge from the current debate on fiction.
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  27. The Importance of Models in Theorizing: A Deflationary Semantic View.Stephen M. Downes - 1992 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:142 - 153.
    I critically examine the semantic view of theories to reveal the following results. First, models in science are not the same as models in mathematics, as holders of the semantic view claim. Second, when several examples of the semantic approach are examined in detail no common thread is found between them, except their close attention to the details of model building in each particular science. These results lead me to propose a deflationary semantic view, which is simply that (...)
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  28. Feminist implications of model-based science.Angela Potochnik - 2012 - Studies in History and Philosophy of Science Part A 43 (2):383-389.
    Recent philosophy of science has witnessed a shift in focus, in that significantly more consideration is given to how scientists employ models. Attending to the role of models in scientific practice leads to new questions about the representational roles of models, the purpose of idealizations, why multiple models are used for the same phenomenon, and many more besides. In this paper, I suggest that these themes resonate with central topics in feminist epistemology, in particular prominent versions (...)
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  29. The puzzle of model-based explanation.N. Emrah Aydinonat - 2024 - In Tarja Knuuttila, Natalia Carrillo & Rami Koskinen (eds.), The Routledge Handbook of Philosophy of Scientific Modeling. Routledge.
    Among the many functions of models, explanation is central to the functioning and aims of science. However, the discussions surrounding modeling and explanation in philosophy have largely remained separate from each other. This chapter seeks to bridge the gap by focusing on the puzzle of model-based explanation, asking how different philosophical accounts answer the following question: if idealizations and fictions introduce falsehoods into models, how can idealized and fictional models provide true explanations? The chapter provides a selective (...)
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  30. The Diversity of Models as a Means to Better Explanations in Economics.Emrah Aydinonat - 2018 - Journal of Economic Methodology 25 (3):237-251.
    In Economics Rules, Dani Rodrik (2015) argues that what makes economics powerful despite the limitations of each and every model is its diversity of models. Rodrik suggests that the diversity of models in economics improves its explanatory capacities, but he does not fully explain how. I offer a clearer picture of how models relate to explanations of particular economic facts or events, and suggest that the diversity of models is a means to better economic explanations.
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  31. ARE DARK MATTER AND DARK ENERGY OPPOSITE EFFECTS OF THE QUANTUM VACUUM? Guillen - manuscript
    In the standard model of cosmology, λCDM, were introduced to explain the anomalies of the orbital velocities of galaxies in clusters highest according estimated by General Relativity the dark matter and the accelerated expansion of the universe the dark energy. The model λCDM is based in the equations of the General Relativity that of the total mass-energy of the universe assigns 4.9% to matter (including only baryonic matter), 26.8%, to dark matter and 68.3% to dark energy adjusted according observed in (...)
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  32. On structural accounts of model-explanations.Martin King - 2016 - Synthese 193 (9):2761-2778.
    The focus in the literature on scientific explanation has shifted in recent years towards model-based approaches. In recent work, Alisa Bokulich has argued that idealization has a central role to play in explanation. Bokulich claims that certain highly-idealized, structural models can be explanatory, even though they are not considered explanatory by causal, mechanistic, or covering law accounts of explanation. This paper focuses on Bokulich’s account in order to make the more general claim that there are problems with maintaining that (...)
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  33. Comparative analysis of models for adjustment procedure in assets value independent evaluation performed by comparative approach.Yuri Pozdnyakov, Zoryana Skybinska, Tetiana Gryniv, Igor Britchenko, Peter Losonczi, Olena Magopets, Oleksandr Skybinskyi & Nataliya Hryniv - 2021 - Eastern-European Journal of Enterprise Technologies 6 (13 (114)):80–93.
    This paper addresses the field of economic measurements of the value of assets, carried out by the methods of independent expert evaluation. The mathematical principles of application, within a comparative methodical approach, of additive and multiplicative models for correcting the cost of single indicator of compared objects have been considered. The differences of mathematical basis of the compared models were analyzed. It has been shown that the ambiguity in the methodology of correction procedure requires studying the advantages and (...)
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  34. ARE DARK MATTER AND DARK ENERGY OPPOSITE EFFECTS OF THE QUANTUM VACUUM?Alfonso Leon Guillen Gomez - manuscript
    In the standard model of cosmology, λCDM, were introduced to explain the anomalies of the orbital velocities of galaxies in clusters highest according estimated by General Relativity the dark matter and the accelerated expansion of the universe the dark energy. The model λCDM is based in the equations of the General Relativity that of the total mass-energy of the universe assigns 4.9% to matter (including only baryonic matter), 26.8%, to dark matter and 68.3% to dark energy adjusted according observed in (...)
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  35. The morals of model-making.Susan G. Sterrett - 2014 - Studies in History and Philosophy of Science Part A 46:31-45.
    I address questions about values in model-making in engineering, specifically: Might the role of values be attributable solely to interests involved in specifying and using the model? Selected examples illustrate the surprisingly wide variety of things one must take into account in the model-making itself. The notions of system , and physically similar systems are important and powerful in determining what is relevant to an engineering model. Another example illustrates how an idea to completely re-characterize, or reframe, an engineering problem (...)
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  36. Philosophy and Cosmology 2009 (The Journal of International Society of Philosophy and Cosmology (ISPC) ).Oleg Bazaluk (ed.) - 2009 - ISPC.
    Philosophy and Cosmology is an open access, peer-reviewed and refereed journal that focuses on theoretical and conceptual problems and issues in philosophical and cosmological research. Philosophy and Cosmology is published by International Society of Philosophy and Cosmology. The objective of Philosophy and Cosmology is to promote exchange and collaboration among philosophers, social, technical and natural science researchers throughout the world. In pursuit of this objective the journal not only publishes high quality research papers but also ensures that the published papers (...)
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  37. Philosophy and Cosmology 2011 (The Journal of International Society of Philosophy and Cosmology (ISPC) ).Oleg Bazaluk (ed.) - 2011 - ISPC.
    Philosophy and Cosmology is an open access, peer-reviewed and refereed journal that focuses on theoretical and conceptual problems and issues in philosophical and cosmological research. Philosophy and Cosmology is published by International Society of Philosophy and Cosmology. The objective of Philosophy and Cosmology is to promote exchange and collaboration among philosophers, social, technical and natural science researchers throughout the world. In pursuit of this objective the journal not only publishes high quality research papers but also ensures that the published papers (...)
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  38. Philosophy and Cosmology 2008 (The Journal of International Society of Philosophy and Cosmology (ISPC) ).Oleg Bazaluk (ed.) - 2008 - ISPC.
    Philosophy and Cosmology is an open access, peer-reviewed and refereed journal that focuses on theoretical and conceptual problems and issues in philosophical and cosmological research. Philosophy and Cosmology is published by International Society of Philosophy and Cosmology. The objective of Philosophy and Cosmology is to promote exchange and collaboration among philosophers, social, technical and natural science researchers throughout the world. In pursuit of this objective the journal not only publishes high quality research papers but also ensures that the published papers (...)
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  39. The tool box of science: Tools for the building of models with a superconductivity example.Nancy Cartwright, Towfic Shomar & Mauricio Suárez - 1995 - Poznan Studies in the Philosophy of the Sciences and the Humanities 44:137-149.
    We call for a new philosophical conception of models in physics. Some standard conceptions take models to be useful approximations to theorems, that are the chief means to test theories. Hence the heuristics of model building is dictated by the requirements and practice of theory-testing. In this paper we argue that a theory-driven view of models can not account for common procedures used by scientists to model phenomena. We illustrate this thesis with a case study: the construction (...)
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  40. Non-linear Analysis of Models for Biological Pattern Formation: Application to Ocular Dominance Stripes.Michael Lyons & Lionel G. Harrison - 1993 - In Frank Eeckman (ed.), Neural Systems: Analysis and Modeling. Springer. pp. 39-46.
    We present a technique for the analysis of pattern formation by a class of models for the formation of ocular dominance stripes in the striate cortex of some mammals. The method, which employs the adiabatic approximation to derive a set of ordinary differential equations for patterning modes, has been successfully applied to reaction-diffusion models for striped patterns [1]. Models of ocular dominance stripes have been studied [2,3] by computation, or by linearization of the model equations. These techniques (...)
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  41. Possible m-diagrams of models of arithmetic.Andrew Arana - 2005 - In Stephen Simpson (ed.), Reverse Mathematics 2001.
    In this paper I begin by extending two results of Solovay; the first characterizes the possible Turing degrees of models of True Arithmetic (TA), the complete first-order theory of the standard model of PA, while the second characterizes the possible Turing degrees of arbitrary completions of P. I extend these two results to characterize the possible Turing degrees of m-diagrams of models of TA and of arbitrary complete extensions of PA. I next give a construction showing that the (...)
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  42. Imagination extended and embedded: artifactual versus fictional accounts of models.Tarja Knuuttila - 2017 - Synthese 198 (Suppl 21):5077-5097.
    This paper presents an artifactual approach to models that also addresses their fictional features. It discusses first the imaginary accounts of models and fiction that set model descriptions apart from imagined-objects, concentrating on the latter :251–268, 2010; Frigg and Nguyen in The Monist 99:225–242, 2016; Godfrey-Smith in Biol Philos 21:725–740, 2006; Philos Stud 143:101–116, 2009). While the imaginary approaches accommodate surrogative reasoning as an important characteristic of scientific modeling, they simultaneously raise difficult questions concerning how the imagined entities (...)
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  43. Models, Idols, and the Great White Whale: Toward a Christian Faith of Nonattachment.J. R. Hustwit - 2013 - In Asa Kasher & Jeanine Diller (eds.), Models of God and Other Ultimate Realities. Kluwer Academic Publishers. pp. 1001-1112.
    The juxtaposition of models of God and Christian faith may seem repugnant to many, as models are tentative and faith aims at an abiding certainty. In fact, for many Christians, using models of God in worship amounts to idolatry. By examining Biblical and extra-Biblical views of idolatry, I argue that models are not idols. To the contrary, the practice of God-modeling inoculates Christians against one of the most seductive idols of our age: the love of certainty. (...)
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  44. Some Metaphysical Implications of a Credible Ethics of Belief.Nikolaj Nottelmann & Rik Peels - 2013 - In New Essays on Belief: Constitution, Content and Structure. New York: Palgrave. pp. 230-250.
    Any plausible ethics of belief must respect that normal agents are doxastically blameworthy for their beliefs in a range of non-exotic cases. In this paper, we argue, first, that together with independently motivated principles this constraint leads us to reject occurrentism as a general theory of belief. Second, we must acknowledge not only dormant beliefs, but tacit beliefs as well. Third, a plausible ethics of belief leads us to acknowledge that a difference in propositional content cannot in all contexts count (...)
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  45. The multiplicity of experimental protocols: A challenge to reductionist and non-reductionist models of the unity of neuroscience.Jacqueline A. Sullivan - 2009 - Synthese 167 (3):511-539.
    Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these (...)
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  46. Magnets, spins, and neurons: The dissemination of model templates across disciplines.Tarja Knuuttila & Andrea Loettgers - 2014 - The Monist 97 (3):280-300.
    One of the most conspicuous features of contemporary modeling practices is the dissemination of mathematical and computational methods across disciplinary boundaries. We study this process through two applications of the Ising model: the Sherrington-Kirkpatrick model of spin glasses and the Hopfield model of associative memory. The Hopfield model successfully transferred some basic ideas and mathematical methods originally developed within the study of magnetic systems to the field of neuroscience. As an analytical resource we use Paul Humphreys's discussion of computational and (...)
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  47. Granger and science as network of models.Sergio Volodia Marcello Cremaschi - 1987 - Manuscrito 10 (2):111-136.
    The discovery of the role of models in science by Granger parallels the analogous discovery made by Mary Hesse and Marx Wartofsky. The role models are granted highlights the linguistic dimension of science, resulting in a 'softening' of Bachelard's rationalistic epistemology without lapsing into relativism. A 'linguistic' theory of metaphor, as contrasted with Bachelard's 'psychological' theory, is basic to Granger's account of models. A final paragraph discusses to what extent Granger's 'mature' theory of models would imply (...)
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  48. Being There and Getting There: A View on the Nature and Application of Models.William M. Goodman - manuscript
    This paper updates (2017) a previously-presented* model of models, which can be used to clarify discussion and analysis in a variety of disputes and debates, since many such discussions hinge on displaying or implying models about how things are related. Knowing about models does not itself supply any new information about our world, but it might help us to recognize when and how information is being conveyed on these matters, or where possibly it is being obscured. If (...)
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  49.  43
    Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach.Andrea Ferrario, Alberto Termine & Alessandro Facchini - forthcoming - Available at Https://Arxiv.Org/Abs/2403.17873 (Extended Version of the Manuscript Accepted for the Acm Chi Workshop on Human-Centered Explainable Ai 2024 (Hcxai24).
    Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may (...)
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  50. The functions of models: Axel Gelfert: How to do science with models: A philosophical primer. Springer, 2016, 135pp, 49.99 € PB. [REVIEW]Sergio A. Gallegos - 2017 - Metascience (1):1-4.
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