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  1. added 2020-10-19
    Modeling and the Relation of Normal Science to a Paradigm Theory.Bruce Paternoster - 1973 - Dissertation, Yale University
  2. added 2020-10-19
    Models and Analogies in Science. [REVIEW]J. M. P. - 1966 - Review of Metaphysics 20 (1):153-153.
    There is little doubt that in the actual practice of science, models, metaphors, analogies, reasoning by similar cases, and other "parallel" forms of argument are often essential for the discovery of new phenomena and their theoretical interpretation. The author has assembled in five essays, culled and developed from previous ones, her ideas on some basic questions concerning models and analogies. The first chapter considers in dialogue form the role of models in science; the next section is an exploration of the (...)
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  3. added 2020-10-08
    Scientific Models.Stephan Hartmann & Roman Frigg - 2005 - In Sarkar Sahotra (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
    Models are of central importance in many scientific contexts. The roles the MIT bag model of the nucleon, the billiard ball model of a gas, the Bohr model of the atom, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka- Volterra model of predator-prey interaction, agent-based and evolutionary models of social interaction, or general equilibrium models of markets play in their respective domains are cases in point.
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  4. added 2020-10-07
    Models, Simulations, and the Reduction of Complexity.Ulrich Gähde, Stephan Hartmann & Jörn Henning Wolf (eds.) - 2013 - De Gruyter.
    Modern science is, to a large extent, a model-building activity. But how are models contructed? How are they related to theories and data? How do they explain complex scientific phenomena, and which role do computer simulations play here? These questions have kept philosophers of science busy for many years, and much work has been done to identify modeling as the central activity of theoretical science. At the same time, these questions have been addressed by methodologically-minded scientists, albeit from a different (...)
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  5. added 2020-10-06
    Mechanistic Idealization in Systems Biology.Dingmar van Eck & Cory Wright - forthcoming - Synthese.
    This paper adds to the philosophical literature on mechanistic explanation by elaborating two related explanatory functions of idealisation in mechanistic models. The first function involves explaining the presence of structural/organizational features of mechanisms by reference to their role as difference-makers for performance requirements. The second involves tracking counterfactual dependency relations between features of mechanisms and features of mechanistic explanandum phenomena. To make these functions salient, we relate our discussion to an exemplar from systems biological research on the mechanism for countering (...)
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  6. added 2020-09-30
    Making Confident Decisions with Model Ensembles.Joe Roussos, Richard Bradley & Roman Frigg - forthcoming - Philosophy of Science.
    Many policy decisions take input from collections of scientific models. Such decisions face significant and often poorly understood uncertainty. We rework the so-called “confidence approach” to tackle decision-making under severe uncertainty with multiple models, and illustrate the approach with a case study: insurance pricing using hurricane models. The confidence approach has important consequences for this case and offers a powerful framework for a wide class of problems. We end by discussing different ways in which model ensembles can feed information into (...)
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  7. added 2020-09-27
    Physical Entity As Quantum Information.Vasil Penchev - 2020 - Philosophy of Science eJournal (Elsevier: SSRN) 13 (35):1-15.
    Quantum mechanics was reformulated as an information theory involving a generalized kind of information, namely quantum information, in the end of the last century. Quantum mechanics is the most fundamental physical theory referring to all claiming to be physical. Any physical entity turns out to be quantum information in the final analysis. A quantum bit is the unit of quantum information, and it is a generalization of the unit of classical information, a bit, as well as the quantum information itself (...)
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  8. added 2020-09-27
    Chapter Two. Laws, Mechanisms, and Models.Peter Godfrey-Smith - 2013 - In Philosophy of Biology. Princeton University Press. pp. 11-27.
  9. added 2020-08-12
    Philosophical Dogmatism Inhibiting the Anti-Copernican Interpretation of the Michelson Morley Experiment.Spyridon Kakos - 2020 - Harmonia Philosophica 1.
    From the beginning of time, humans believed they were the center of the universe. Such important beings could be nowhere else than at the very epicenter of existence, with all the other things revolving around them. Was this an arrogant position? Only time will tell. What is certain is that as some people were so certain of their significance, aeons later some other people became too confident in their unimportance. In such a context, the Earth quickly lost its privileged position (...)
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  10. added 2020-08-02
    Why I Am Not a Literalist.Zoe Drayson - forthcoming - Mind and Language.
    Carrie Figdor argues for literalism, a semantic claim about psychological predicates, on the basis of a scientific claim about the nature of psychological properties. I argue that her scientific claim is based on controversial interpretations of scientific modelling, and that even if it were correct it would not justify her claims that psychological predicates are undergoing radical conceptual change.
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  11. added 2020-07-09
    Computer Simulation Validation - Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives.Claus Beisbart & Nicole J. Saam - 2019 - Springer.
    This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer simulations, (...)
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  12. added 2020-06-27
    Meta-Theoretical Contributions to the Constitution of a Model-Based Didactics of Science.Yefrin Ariza, Pablo Lorenzano & Agustín Adúriz-Bravo - 2016 - Science & Education 25 (7-8):747-773.
    There is nowadays consensus in the community of didactics of science regarding the need to include the philosophy of science in didactical research, science teacher education, curriculum design, and the practice of science education in all educational levels. Some authors have identified an ever-increasing use of the concept of ‘theoretical model’, stemming from the so-called semantic view of scientific theories. However, it can be recognised that, in didactics of science, there are over-simplified transpositions of the idea of model. In this (...)
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  13. added 2020-06-27
    Introducción a “Nuevas contribuciones iberoamericanas a la metateoría estructuralista”.José A. Díez, José L. Falguera & Pablo Lorenzano - 2012 - Agora 31 (2).
    This is the introduction to the special issue of the Spanish journal Ágora-Papeles de Filosofía (31/2, 2012) devoted to new Ibero-American contributions to metatheoretical structuralism.
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  14. added 2020-06-27
    Comentarios a «Explicación Teórica y Compromisos Ontológicos: Un Modelo Estructuralista», de C. Ulises Moulines.Pablo Lorenzano - 2005 - Enrahonar: Quaderns de Filosofía 37:55-59.
    In this comment on the work by Ulises Moulines I shall not refer to the interesting analysis of the ontological commitments that depends the treatment of the so-called «data models», nor shall I debate the general metaphysical principles proposed in his approach, adopting an experimentalist, instrumentalist, anti-realistic, positivist or empirical stance. I shall focus on the last part of his article in which he elaborates on the links between Wesley Salmon's causalist approach and the structuralist analysis of explanation viewed as (...)
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  15. added 2019-09-30
    Interprétabilité et explicabilité pour l’apprentissage machine : entre modèles descriptifs, modèles prédictifs et modèles causaux. Une nécessaire clarification épistémologique.Christophe Denis & Franck Varenne - 2019 - Actes de la Conférence Nationale En Intelligence Artificielle - CNIA 2019.
    Le déficit d’explicabilité des techniques d’apprentissage machine (AM) pose des problèmes opérationnels, juridiques et éthiques. Un des principaux objectifs de notre projet est de fournir des explications éthiques des sorties générées par une application fondée sur de l’AM, considérée comme une boîte noire. La première étape de ce projet, présentée dans cet article, consiste à montrer que la validation de ces boîtes noires diffère épistémologiquement de celle mise en place dans le cadre d’une modélisation mathématique et causale d’un phénomène physique. (...)
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  16. added 2019-09-25
    Towards a Taxonomy of the Model-Ladenness of Data.Alisa Bokulich - forthcoming - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.
    Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are not only data-laden, but data are also model-laden or model filtered. In this paper I elaborate and defend the second, more controversial, component of the symbiosis view. In particular, I construct a preliminary taxonomy of the different ways in which theoretical and simulation models are used in the production of data sets. These include data conversion, data correction, data interpolation, (...)
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  17. added 2019-09-09
    Refounding of the Activity Concept? Towards a Federative Paradigm for Modeling and Simulation.Alexandre Muzy, Franck Varenne, Bernard P. Zeigler, Jonathan Caux, Patrick Coquillard, Luc Touraille, Dominique Prunetti, Philippe Caillou, Olivier Michel & David R. C. Hill - 2013 - Simulation - Transactions of the Society for Modeling and Simulation International 89 (2):156-177.
    Currently, the widely used notion of activity is increasingly present in computer science. However, because this notion is used in specific contexts, it becomes vague. Here, the notion of activity is scrutinized in various contexts and, accordingly, put in perspective. It is discussed through four scientific disciplines: computer science, biology, economics, and epistemology. The definition of activity usually used in simulation is extended to new qualitative and quantitative definitions. In computer science, biology and economics disciplines, the new simulation activity definition (...)
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  18. added 2019-09-09
    Quelques Aspects de L’Œuvre de Jean-Marie Legay.Franck Varenne - 2012 - Natures Sciences Sociétés 20 (4):461-463.
    Cet article revient sur la pratique scientifique et les thèses épistémologiques de Jean-Marie Legay concernant les modèles, les simulations et les systèmes complexes. Il montre qu'il y a une cohérence entre sa thèse anti-représentationnaliste concernant les modèles et les simulations et sa caractérisation même des systèmes complexes : une simulation informatique, seule, n'est pas une expérience au sens fort car, en l'isolant, on perd la dimension complexe de toute entreprise d'expérimentation scientifique dès lors qu'il y manque le modélisateur, le terrain (...)
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  19. added 2019-09-09
    Alain Badiou : un philosophe face au concept de modèle.Franck Varenne - 2008 - Natures Sciences Sociétés 16 (3):252-257.
    In 1969, the influent French philosopher Alain Badiou published a book called "The concept of Model: An Introduction to the Materialist Epistemology of Mathematics". A recent reprint gives the opportunity to trace back and analyze its main arguments. This paper essentially aims to present and explain Badiou's arguments against the representationalist vision of models in empirical sciences and for a materialist interpretation of formal systems coupled with semantic models in mathematics. Now that the practices of scientific modeling and simulation have (...)
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  20. added 2019-06-21
    There Is No Special Problem About Scientific Representation.Craig Callender & Jonathan Cohen - 2005 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to thc scientific special case. Construing scientific representation in this way makes the so-called “problem of scientific representation” look much less interesting than it has seerned to many, and suggests that some of the debates in the literature are concerned with non-issues.
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  21. added 2019-05-28
    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). Lisbon: 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, section 2 gives (...)
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  22. added 2019-04-23
    Epistemic Norms: Truth Conducive Enough.Lisa Warenski - 2019 - Synthese 197:1-21.
    Epistemology needs to account for the success of science. In True Enough (2017), Catherine Elgin argues that a veritist epistemology is inadequate to this task. She advocates shifting epistemology’s focus away from true belief and toward understanding, and further, jettisoning truth from its privileged place in epistemological theorizing. Pace Elgin, I argue that epistemology’s accommodation of science does not require rejecting truth as the central epistemic value. Instead, it requires understanding veritism in an ecumenical way that acknowledges a rich array (...)
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  23. added 2019-04-23
    From Models to Simulations.Franck Varenne - 2018 - London, UK: Routledge.
    This book analyses the impact computerization has had on contemporary science and explains the origins, technical nature and epistemological consequences of the current decisive interplay between technology and science: an intertwining of formalism, computation, data acquisition, data and visualization and how these factors have led to the spread of simulation models since the 1950s. -/- Using historical, comparative and interpretative case studies from a range of disciplines, with a particular emphasis on the case of plant studies, the author shows how (...)
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  24. added 2019-04-01
    Review of True Enough, by Catherine Z. Elgin.John Bengson - forthcoming - Mind:fzz003.
    Review of True Enough, by Catherine Elgin. Reconstructs three pillars of Elgin's view (focused on truth enough, understanding, and holism); summarizes the book's main arguments against veritism and factivism; presents a general recipe for responding to those arguments; raises several objections to the view.
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  25. added 2019-03-21
    Bernard Walliser's Comment Raisonnent les Économistes: Les Fonctions des Modèles. Paris: Odile Jacob, 2011, 278 Pp. [REVIEW]Philippe Verreault-Julien - 2012 - Erasmus Journal for Philosophy and Economics 5 (2):144.
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  26. added 2019-02-23
    Bachelard avec la simulation informatique: nous faut-il reconduire sa critique de l'intuition ?Franck Varenne - 2006 - In Robert Damien & B. Hufschmitt (eds.), Bachelard: Confiance Raisonnée Et Défiance Rationnelle. Besançon: Presses Universitaires de Franche-Comté. pp. 111-143.
    Dans un nombre croissant de domaines scientifiques - sciences de la nature, sciences humaines aussi bien que sciences des artefacts -, la simulation ne joue plus le rôle de succédané temporaire d'une théorie encore en gésine parce que non encore élaborée ; c'est-à-dire qu'elle ne joue plus systématiquement le rôle d'un modèle provisoire ou d'un schéma servant à condenser les mesures. C'est qu'elle n'a pas la nature d'un signe graphique, linguistique ou mathématique. Elle joue au contraire de plus en plus (...)
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  27. added 2018-10-25
    Scientific Misrepresentation and Guides to Ontology: The Need for Representational Code and Contents.Elay Shech - 2015 - Synthese 192 (11):3463-3485.
    In this paper I show how certain requirements must be set on any tenable account of scientific representation, such as the requirement allowing for misrepresentation. I then continue to argue that two leading accounts of scientific representation— the inferential account and the interpretational account—are flawed for they do not satisfy such requirements. Through such criticism, and drawing on an analogy from non-scientific representation, I also sketch the outline of a superior account. In particular, I propose to take epistemic representations to (...)
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  28. added 2018-08-02
    Why Experiments Matter.Adrian Currie & Arnon Levy - 2018 - Inquiry: An Interdisciplinary Journal of Philosophy (9-10):1-25.
    Traditionally, experimentation is considered a privileged means of confirmation. However, how experiments are a better confirmatory source than other strategies is unclear, and recent discussions have identified experiments with various modeling strategies on the one hand, and with ‘natural’ experiments on the other hand. We argue that experiments aiming to test theories are best understood as controlled investigations of specimens. ‘Control’ involves repeated, fine-grained causal manipulation of focal properties. This capacity generates rich knowledge of the object investigated. ‘Specimenhood’ involves possessing (...)
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  29. added 2016-07-21
    Angela N. H. Creager, Elizabeth Lunbeck and M. Norton Wise , Science Without Laws: Model Systems, Cases, Exemplary Narratives. Durham, NC and London: Duke University Press, 2007. ISBN 978-0-8223-4068-3. £12.99. [REVIEW]Jacob Stegenga - 2009 - British Journal for the History of Science 42 (4):626.
  30. added 2015-09-23
    Grados de materialidad y simulaciones computacionales.Juan M. Durán - 2009 - In Diego Letzen & Penélope Lodeyro (eds.), Epistemología e historia de la ciencia: Selección de trabajos de las XIX jornadas. pp. 171-177.
  31. added 2015-06-07
    Humanities’ Metaphysical Underpinnings of Late Frontier Scientific Research.Alcibiades Malapi-Nelson - 2014 - Humanities 214 (3):740-765.
    The behavior/structure methodological dichotomy as locus of scientific inquiry is closely related to the issue of modeling and theory change in scientific explanation. Given that the traditional tension between structure and behavior in scientific modeling is likely here to stay, considering the relevant precedents in the history of ideas could help us better understand this theoretical struggle. This better understanding might open up unforeseen possibilities and new instantiations, particularly in what concerns the proposed technological modification of the human condition. The (...)
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  32. added 2014-10-30
    Percolation: An Easy Example of Renormalization.Malcolm Forster - manuscript
    Kenneth Wilson won the Nobel Prize in Physics in 1982 for applying renormalization group, which he learnt from quantum field theory (QFT), to problems in statistical physics—the induced magnetization of materials (ferromagnetism) and the evaporation and condensation of fluids (phase transitions). See Wilson (1983). The renormalization group got its name from its early applications in QFT. There, it appeared to be a rather ad hoc method of subtracting away unwanted infinities. The further allegation was that the procedure is so horrendously (...)
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  33. added 2014-10-30
    Simplicity and Complexity in Games of the Intellect.Lawrence B. Slobodkin - 1992 - Harvard University Press.
    Slobodkin proposes that the best intellectual work is done as if it were a game on a simplified playing field.
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  34. added 2014-10-30
    Bootstrapping While Barefoot (Crime Models Vs. Theoretical Models in the Hunt for Serial Killers).Jon J. Nordby - 1989 - Synthese 81 (3):373 - 389.
    Investigating random homicides involves constructing models of an odd sort. While the differences between these models and scientific models are radical, calling them models is justified both by functional and structural similarities. Serial homicide investigations illustrate the marked difference between theoretical models in science and the models applied in these criminal investigations. This is further illustrated by considering Glymourian bootstrapping in attempts to solve such homicides. The solutions that result differ radically from explanations in science that are confirmed or disconfirmed (...)
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  35. added 2014-03-25
    Models and Representation.Richard Hughes - 1997 - Philosophy of Science 64 (4):336.
    A general account of modeling in physics is proposed. Modeling is shown to involve three components: denotation, demonstration, and interpretation. Elements of the physical world are denoted by elements of the model; the model possesses an internal dynamic that allows us to demonstrate theoretical conclusions; these in turn need to be interpreted if we are to make predictions. The DDI account can be readily extended in ways that correspond to different aspects of scientific practice.
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  36. added 2014-03-23
    When Scientific Models Represent.Daniela M. Bailer-Jones - 2003 - International Studies in the Philosophy of Science 17 (1):59 – 74.
    Scientific models represent aspects of the empirical world. I explore to what extent this representational relationship, given the specific properties of models, can be analysed in terms of propositions to which truth or falsity can be attributed. For example, models frequently entail false propositions despite the fact that they are intended to say something "truthful" about phenomena. I argue that the representational relationship is constituted by model users "agreeing" on the function of a model, on the fit with data and (...)
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  37. added 2014-03-19
    Model Organisms as Models: Understanding the 'Lingua Franca' of the Human Genome Project.Rachel A. Ankeny - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S251-.
    Through an examination of the actual research strategies and assumptions underlying the Human Genome Project (HGP), it is argued that the epistemic basis of the initial model organism programs is not best understood as reasoning via causal analog models (CAMs). In order to answer a series of questions about what is being modeled and what claims about the models are warranted, a descriptive epistemological method is employed that uses historical techniques to develop detailed accounts which, in turn, help to reveal (...)
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  38. added 2014-03-15
    Growing Weed, Producing Knowledge An Epistemic History of Arabidopsis Thaliana.Sabina Leonelli - 2007 - History and Philosophy of the Life Sciences 29 (2):193 - 223.
    Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. (...)
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  39. added 2014-03-12
    How Models Are Used to Represent Reality.Ronald N. Giere - 2004 - Philosophy of Science 71 (5):742-752.
    Most recent philosophical thought about the scientific representation of the world has focused on dyadic relationships between language-like entities and the world, particularly the semantic relationships of reference and truth. Drawing inspiration from diverse sources, I argue that we should focus on the pragmatic activity of representing, so that the basic representational relationship has the form: Scientists use models to represent aspects of the world for specific purposes. Leaving aside the terms "law" and "theory," I distinguish principles, specific conditions, models, (...)
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  40. added 2013-06-11
    Complessità in fisica: che cos’è il cambiamento?Ignazio Licata - 2012 - Nuova Civiltà Delle Macchine 10 (4):59-76.
    IN FISICA LA COMPLESSITÀ FA IL SUO INGRESSO NELLA FISICA STATISTICA PER POI APPARIRE NELLO STUDIO DEI COMPORTAMENTI COLLETTIVI NELLA MATERIA CONDENSATA E DELLA SOFT MATTER, E DA ULTIMO NELLA NUOVA TEORIA DEL CAMBIAMENTO. RIDUZIONISMO ED EMERGENZA NON SONO APPROCCI OPPOSTI BENSÌ COMPLEMENTARI.
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  41. added 2013-06-03
    Ratings and Confirmation.Joseph S. Fulda - 1988 - Quality and Quantity 22 (4):435-438.
    We present a linear formalism which makes explicit and precise the confirming effect of independent multiple observers and repeated trials on composite ratings, taking as parameters quantitative estimates of the subjective inputs discussed. -/- Note that the subjective probability used here is so used to study the past not predict the future and is rather limited to what has been called in artificial intelligence "certainty factors," which are arbitrary, or, more well-known, the arbitrary values ascribed to predicates in fuzzy "logic." (...)
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  42. added 2013-06-03
    The Logistic Equation and Double Jeopardy.Joseph S. Fulda - 1987 - Ecological Modelling 36 (3/4):315-316.
    A second demonstration (more powerful because more subtle) of how a prevalent scope error can render a model invalid, and thus how difficult modeling really is. The prevalence indicates the difficulty, as the error is often built-in and very subtle and thus easily escapes notice.
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  43. added 2012-10-25
    Logical Empiricism and Logical Positivism.Krzysztof Brzechczyn - 2009 - In Aviezer Tucker (ed.), A Companion to the Philosophy of History and Historiography. Wiley-Blackwell.
  44. added 2012-10-19
    On the Epistemological Foundations of the Law of the Lever.Maarten Van Dyck - 2009 - Studies in History and Philosophy of Science Part A 40 (3):315-318.
    In this paper I challenge Paolo Palmieri’s reading of the Mach-Vailati debate on Archimedes’s proof of the law of the lever. I argue that the actual import of the debate concerns the possible epistemic (as opposed to merely pragmatic) role of mathematical arguments in empirical physics, and that construed in this light Vailati carries the upper hand. This claim is defended by showing that Archimedes’s proof of the law of the lever is not a way of appealing to a non-empirical (...)
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  45. added 2012-10-04
    Robust Simulations.Ryan Muldoon - 2007 - Philosophy of Science 74 (5):873-883.
    As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicated to perform model verification. From the experimentalist perspective it is that there is no means to demonstrate the reality of simulation. The aim of this paper is to consider objections from both of these perspectives, and to argue (...)
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  46. added 2012-09-17
    Abstraction and the Organization of Mechanisms.Arnon Levy & William Bechtel - 2013 - Philosophy of Science 80 (2):241-261.
  47. added 2012-06-22
    Models, Fictions, and Realism: Two Packages.Arnon Levy - 2012 - Philosophy of Science 79 (5):738-748.
    Some philosophers of science – the present author included – appeal to fiction as an interpretation of the practice of modeling. This raises the specter of an incompatibility with realism, since fiction-making is essentially non-truth-regulated. I argue that the prima facie conflict can be resolved in two ways, each involving a distinct notion of fiction and a corresponding formulation of realism. The main goal of the paper is to describe these two packages. Toward the end I comment on how to (...)
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  48. added 2011-10-22
    Avoiding Policy Failure.Steven E. Wallis - 2011 - Emergent Publications.
    Why do policies fail? How can we objectively choose the best policy from two (or more) competing alternatives? How can we create better policies? To answer these critical questions this book presents an innovative yet workable approach. Avoiding Policy Failure uses emerging metapolicy methodologies in case studies that compare successful policies with ones that have failed. Those studies investigate the systemic nature of each policy text to gain new insights into why policies fail. -/- In addition to providing intriguing directions (...)
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  49. added 2009-05-14
    An Agent-Based Conception of Models and Scientific Representation.Ronald N. Giere - 2010 - Synthese 172 (2):269–281.
    I argue for an intentional conception of representation in science that requires bringing scientific agents and their intentions into the picture. So the formula is: Agents (1) intend; (2) to use model, M; (3) to represent a part of the world, W; (4) for some purpose, P. This conception legitimates using similarity as the basic relationship between models and the world. Moreover, since just about anything can be used to represent anything else, there can be no unified ontology of models. (...)
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  50. added 2009-05-14
    Models, Pictures, and Unified Accounts of Representation: Lessons From Aesthetics for Philosophy of Science.Stephen M. Downes - 2009 - Perspectives on Science 17 (4):417-428.
    Several prominent philosophers of science, most notably Ron Giere, propose that scientific theories are collections of models and that models represent the objects of scientific study. Some, including Giere, argue that models represent in the same way that pictures represent. Aestheticians have brought the picturing relation under intense scrutiny and presented important arguments against the tenability of particular accounts of picturing. Many of these arguments from aesthetics can be used against accounts of representation in philosophy of science. I rely on (...)
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