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  1. Thagard's Principle 7 and Simpson's paradox.Robyn M. Dawes - 1989 - Behavioral and Brain Sciences 12 (3):472-473.
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  • Induction and the discovery of the causes of scurvy: a computational reconstruction.Vincent Corruble & Jean-Gabriel Ganascia - 1997 - Artificial Intelligence 91 (2):205-223.
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  • Two problems for the explanatory coherence theory of acceptability.L. Jonathan Cohen - 1989 - Behavioral and Brain Sciences 12 (3):471-471.
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  • Clusters' last stand.Nader Chokr - 1993 - Social Epistemology 7 (4):329 – 353.
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  • Assimilating evidence: The key to revision?Michelene T. H. Chi - 1989 - Behavioral and Brain Sciences 12 (3):470-471.
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  • Explanatory coherence as a psychological theory.P. C.-H. Cheng & M. Keane - 1989 - Behavioral and Brain Sciences 12 (3):469-470.
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  • Network and direct methods of maximising harmony.Nick Chater - 1991 - Behavioral and Brain Sciences 14 (4):740-742.
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  • Explanatory coherence and fact-finding.Craig R. Callen - 1991 - Behavioral and Brain Sciences 14 (4):739-740.
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  • Taking Up Thagard’s Challenge: A Formal Model of Conceptual Revision.Sena Bozdag & Matteo De Benedetto - 2022 - Journal of Philosophical Logic 51 (4):791-824.
    Thagard presented a framework for conceptual change in science based on conceptual systems. Thagard challenged belief revision theorists, claiming that traditional belief-revision systems are able to model only the two most conservative types of changes in his framework, but not the more radical ones. The main aim of this work is to take up Thagard’s challenge, presenting a belief-revision-like system able to mirror radical types of conceptual change. We will do that with a conceptual revision system, i.e. a belief-revision-like system (...)
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  • When weak explanations prevail.Carl Bereiter & Marlene Scardamalia - 1989 - Behavioral and Brain Sciences 12 (3):468-469.
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  • Categorization, anomalies and the discovery of nuclear fission.Hanne Andersen - 1996 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 27 (4):463-492.
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  • A Twentieth-Century Phlogiston: Constructing Error and Differentiating Domains.Douglas Allchin - 1997 - Perspectives on Science 5 (1):81-127.
    In the 1950s–60s biochemists searched intensively for a series of high-energy molecules in the cell. Although we now believe that these molecules do not exist, biochemists claimed to have isolated or identified them on at least sixteen occasions. The episode parallels the familiar eighteenth-century case of phlogiston, in illustrating how error is not simply the loss of facts but, instead, must be actively constructed. In addition, the debates surrounding each case demonstrate how revolutionary-scale disagreement is sometimes resolved by differentiating or (...)
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  • Explanation and acceptability.Peter Achinstein - 1989 - Behavioral and Brain Sciences 12 (3):467-468.
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  • Theory autonomy and future promise.Matti Sintonen - 1989 - Behavioral and Brain Sciences 12 (3):488-488.
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  • Texting ECHO on historical data.Jan M. Zytkow - 1989 - Behavioral and Brain Sciences 12 (3):489-490.
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  • Psychology, or sociology of science?N. E. Wetherick - 1989 - Behavioral and Brain Sciences 12 (3):489-489.
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  • On the neglect of the philosophy of chemistry.J. van Brakel - 1999 - Foundations of Chemistry 1 (2):111-174.
    In this paper I present a historiography of the recent emergence of philosophy of chemistry. Special attention is given to the interest in this domain in Eastern Europe before the collapse of the USSR. It is shown that the initial neglect of the philosophy of chemistry is due to the unanimous view in philosophy and philosophy of science that only physics is a proper science (to put in Kant's words). More recently, due to the common though incorrect assumption that chemistry (...)
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  • Mind, society, and the growth of knowledge.Paul Thagard - 1994 - Philosophy of Science 61 (4):629-645.
    Explanations of the growth of scientific knowledge can be characterized in terms of logical, cognitive, and social schemas. But cognitive and social schemas are complementary rather than competitive, and purely social explanations of scientific change are as inadequate as purely cognitive explanations. For example, cognitive explanations of the chemical revolution must be supplemented by and combined with social explanations, and social explanations of the rise of the mechanical world view must be supplemented by and combined with cognitive explanations. Rational appraisal (...)
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  • In defense of computational philosophy of science.Paul Thagard - 1991 - Minds and Machines 1 (2):217-219.
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  • Extending explanatory coherence.Paul Thagard - 1989 - Behavioral and Brain Sciences 12 (3):490-502.
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  • Explanatory coherence (plus commentary).Paul Thagard - 1989 - Behavioral and Brain Sciences 12 (3):435-467.
    This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if they (...)
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  • Defending explanatory coherence.Paul Thagard - 1991 - Behavioral and Brain Sciences 14 (4):745-748.
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  • Concepts and conceptual change.Paul R. Thagard - 1990 - Synthese 82 (2):255-74.
    This paper argues that questions concerning the nature of concepts that are central in cognitive psychology are also important to epistemology and that there is more to conceptual change than mere belief revision. Understanding of epistemic change requires appreciation of the complex ways in which concepts are structured and organized and of how this organization can affect belief revision. Following a brief summary of the psychological functions of concepts and a discussion of some recent accounts of what concepts are, I (...)
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  • Theory autonomy and future promise.Matti Sintonen - 1989 - Behavioral and Brain Sciences 12 (3):488-488.
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  • ECHO and STAHL: On the theory of combustion.Herbert A. Simon - 1989 - Behavioral and Brain Sciences 12 (3):487-487.
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  • Instrumentalism and scientific explanation in Berkeley s De motu.Marcos Rodrigues da Silva - 2006 - Scientiae Studia 4 (1):101-114.
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  • Bibliography on philosophy of chemistry.E. R. Scerri - 1997 - Synthese 111 (3):305-324.
    The term philosophy of chemistry is here construed broadly to include some publications from the history of chemistry and chemical education. Of course this initial selection of material has inevitably been biased by the interests of the author. This bibliography supersedes that of van Brakel and Vermeeren (1981), although no attempt has been made to include every single one of their entries, especially in languages other than English. Also, readers interested particularly in articles in German may wish to consult the (...)
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  • Children's judgments in theory choice tasks: Scientific rationality in childhood.Ala Samarapungavan - 1992 - Cognition 45 (1):1-32.
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  • The emperor's new epistemology.Lissa Roberts & Michael E. Gorman - 1991 - Behavioral and Brain Sciences 14 (4):743-744.
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  • Measuring the plausibility of explanatory hypotheses.James A. Reggia - 1989 - Behavioral and Brain Sciences 12 (3):486-487.
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  • Explanatory coherence in understanding persons, interactions, and relationships.Stephen J. Read & Lynn C. Miller - 1989 - Behavioral and Brain Sciences 12 (3):485-486.
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  • Probability and normativity.David Papineau - 1989 - Behavioral and Brain Sciences 12 (3):484-485.
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  • Coherence and abduction.Paul O'Rorke - 1989 - Behavioral and Brain Sciences 12 (3):484-484.
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  • Conceptual change in science and in science education.Nancy J. Nersessian - 1989 - Synthese 80 (1):163 - 183.
    There is substantial evidence that traditional instructional methods have not been successful in helping students to restructure their commonsense conceptions and learn the conceptual structures of scientific theories. This paper argues that the nature of the changes and the kinds of reasoning required in a major conceptual restructuring of a representation of a domain are fundamentally the same in the discovery and in the learning processes. Understanding conceptual change as it occurs in science and in learning science will require the (...)
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  • Scientists' Argumentative Reasoning.Hugo Mercier & Christophe Heintz - 2014 - Topoi 33 (2):513-524.
    Reasoning, defined as the production and evaluation of reasons, is a central process in science. The dominant view of reasoning, both in the psychology of reasoning and in the psychology of science, is of a mechanism with an asocial function: bettering the beliefs of the lone reasoner. Many observations, however, are difficult to reconcile with this view of reasoning; in particular, reasoning systematically searches for reasons that support the reasoner’s initial beliefs, and it only evaluates these reasons cursorily. By contrast, (...)
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  • Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
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  • Acceptability, analogy, and the acceptability of analogies.Robert N. McCauley - 1989 - Behavioral and Brain Sciences 12 (3):482-483.
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  • Paradigms and Barriers.Howard Margolis - 1990 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990 (2):431-440.
    Having for thirty years believed and taught the doctrine of phlogiston… I for a long time felt inimical to the new system, which represented as absurd that which I hitherto regarded as sound doctrine; but this enmity… springs only from force of habit… [Black to Lavoisier, 1791]This paper is abstracted from a forthcoming book which defends a particular answer to the question of just what it is that shifts when a paradigm shifts. The claim is that what shifts are habits (...)
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  • New science for old.Bruce Mangan & Stephen Palmer - 1989 - Behavioral and Brain Sciences 12 (3):480-482.
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  • Explanationism, ECHO, and the connectionist paradigm.William G. Lycan - 1989 - Behavioral and Brain Sciences 12 (3):480-480.
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  • Explanatory coherence in neural networks?Daniel S. Levine - 1989 - Behavioral and Brain Sciences 12 (3):479-479.
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  • Does ECHO explain explanation? A psychological perspective.Joshua Klayman & Robin M. Hogarth - 1989 - Behavioral and Brain Sciences 12 (3):478-479.
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  • From phlogiston to caloric: chemical ontologies. [REVIEW]Mi Gyung Kim - 2011 - Foundations of Chemistry 13 (3):201-222.
    The ‘triumph of the anti-phlogistians’ is a familiar story to the historians and philosophers of science who characterize the Chemical Revolution as a broad conceptual shift. The apparent “incommensurability” of the paradigms across the revolutionary divide has caused much anxiety. Chemists could identify phlogiston and oxygen, however, only with different sets of instrumental practices, theoretical schemes, and philosophical commitments. In addition, the substantive counterpart to phlogiston in the new chemistry was not oxygen, but caloric. By focusing on the changing visions (...)
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  • Inference to the best explanation is basic.John R. Josephson - 1989 - Behavioral and Brain Sciences 12 (3):477-478.
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  • Are explanatory coherence and a connectionist model necessary?Jerry R. Hobbs - 1989 - Behavioral and Brain Sciences 12 (3):476-477.
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  • Towards a new framework for revolutions in science.Wenceslao J. González - 1996 - Studies in History and Philosophy of Science Part A 27 (4):607-625.
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  • What does explanatory coherence explain?Ronald N. Giere - 1989 - Behavioral and Brain Sciences 12 (3):475-476.
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  • Toward a cognitive psychology of science.Barry Gholson & Arthur Houts - 1989 - Social Epistemology 3 (2):107 – 127.
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  • An extraterrestrial perspective on conceptual development.Christopher Gauker - 1993 - Mind and Language 8 (1):105-30.
    The network theory of conceptual development is the theory that conceptual developmentmay be represented as a process of constructing a network of linked nodes. The nodes of such a network represent concepts and the links between nodes represent relations between concepts. The structure of such a network is not determined by experience alone but must evolve in accordance with abstraction heuristics, which constrain the varieties of network between which experience must decide. This paper criticizes the network theory on the grounds (...)
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  • Coherence: Beyond constraint satisfaction.Gareth Gabrys & Alan Lesgold - 1989 - Behavioral and Brain Sciences 12 (3):475-475.
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