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  1. Explanation: a mechanist alternative.William Bechtel & Adele Abrahamsen - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):421-441.
    Explanations in the life sciences frequently involve presenting a model of the mechanism taken to be responsible for a given phenomenon. Such explanations depart in numerous ways from nomological explanations commonly presented in philosophy of science. This paper focuses on three sorts of differences. First, scientists who develop mechanistic explanations are not limited to linguistic representations and logical inference; they frequently employ diagrams to characterize mechanisms and simulations to reason about them. Thus, the epistemic resources for presenting mechanistic explanations are (...)
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  • Patterns of abduction.Gerhard Schurz - 2008 - Synthese 164 (2):201-234.
    This article describes abductions as special patterns of inference to the best explanation whose structure determines a particularly promising abductive conjecture and thus serves as an abductive search strategy. A classification of different patterns of abduction is provided which intends to be as complete as possible. An important distinction is that between selective abductions, which choose an optimal candidate from given multitude of possible explanations, and creative abductions, which introduce new theoretical models or concepts. While selective abduction has dominated the (...)
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  • (1 other version)Studies in the logic of explanation.Carl Gustav Hempel & Paul Oppenheim - 1948 - Philosophy of Science 15 (2):135-175.
    To explain the phenomena in the world of our experience, to answer the question “why?” rather than only the question “what?”, is one of the foremost objectives of all rational inquiry; and especially, scientific research in its various branches strives to go beyond a mere description of its subject matter by providing an explanation of the phenomena it investigates. While there is rather general agreement about this chief objective of science, there exists considerable difference of opinion as to the function (...)
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  • Explanation and scientific understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.
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  • Historical Perspectives on Peirce's Logic of Science: A History of Science.Charles Sanders Peirce - 1985
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  • Peircean Epistmology of Learning and the Function of Abduction as the Logic of Discovery.Dan Nesher - 2001 - Transactions of the Charles S. Peirce Society 37 (1):23 - 57.
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  • From ugly duckling to Swan: C. S. Peirce, abduction, and the pursuit of scientific theories.Daniel J. McKaughan - 2008 - Transactions of the Charles S. Peirce Society 44 (3):pp. 446-468.
    Jaakko Hintikka (1998) has argued that clarifying the notion of abduction is the fundamental problem of contemporary epistemology. One traditional interpretation of Peirce on abduction sees it as a recipe for generating new theoretical discoveries . A second standard view sees abduction as a mode of reasoning that justifies beliefs about the probable truth of theories. While each reading has some grounding in Peirce's writings, each leaves out features that are crucial to Peirce's distinctive understanding of abduction. I develop and (...)
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  • Peirce's Philosophy of Logic.Jay Zeman - 1986 - Transactions of the Charles S. Peirce Society 22 (1):1 - 22.
    The roughly two and a half millennia over which we can trace the development of mathematics as a discipline have seen ups and downs in its study; the "ups" have involved varying emphases and interests depending on the problems and the temper of the time. The 19th Century may be characterized as a period of development of rigor and attention to the axiomatic method in mathematics. This focus on the deductive process in mathematics was accompanied by the application of mathematics (...)
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  • Peirce and the Art of Reasoning.Doug Anderson - 2005 - Studies in Philosophy and Education 24 (3):277-289.
    Drawing on Charles Peirce’s descriptions of his correspondence course on the “Art of Reasoning,” I argue that Peirce believed that the study of logic stands at the center of a liberal arts education. However, Peirce’s notion of logic included much more than the traditional accounts of deduction and syllogistic reasoning. He believed that the art of reasoning required a study of both abductive and inductive inference as well the practice of observation and imagination. Employing these other features of logic, his (...)
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  • (1 other version)Some Amazing Mazes.Charles S. Peirce - 1908 - The Monist 18 (2):227-241.
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  • How to get it. diagrammatic reasoning as a tool of knowledge development and its pragmatic dimension.Michael H. G. Hoffmann - 2004 - Foundations of Science 9 (3):285-305.
    Discussions concerning belief revision, theorydevelopment, and ``creativity'' in philosophy andAI, reveal a growing interest in Peirce'sconcept of abduction. Peirce introducedabduction in an attempt to providetheoretical dignity and clarification to thedifficult problem of knowledge generation. Hewrote that ``An Abduction is Originary inrespect to being the only kind of argumentwhich starts a new idea'' (Peirce, CP 2.26).These discussions, however, led to considerabledebates about the precise way in which Peirce'sabduction can be used to explain knowledgegeneration (cf. Magnani, 1999; Hoffmann, 1999).The crucial question is (...)
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  • A neurocomputational approach to abduction.Robert G. Burton - 1999 - Minds and Machines 9 (2):257-265.
    Recent developments in the cognitive sciences and artificial intelligence suggest ways of answering the most serious challenge to Peirce's notion of abduction. Either there is no such logical process as abduction or, if abduction is a form of inference, it is essentially unconscious and therefore beyond rational control so that it lacks any normative significance. Peirce himself anticipates and attempts to answer this challenge. Peirce argues that abduction is both a source of creative insight and a form of logical inference (...)
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  • Diagrams as Scaffolds for Creativity.Michael H. G. Hoffmann - 2010 - Aaai Workshops, North America.
    Based on a typology of five basic forms of abduction, I propose a new definition of abductive insight that empha sizes in particular the inferential structure of a belief system that is able to explain a phenomenon after a new, abductive ly created component has been added to this system or the entire system has been abductively restructured. My thesis is, first, that the argumentative structure of the pursued problem solution guides abductive creativity and, second, that diagrammatic reasoning—if conceptualized according (...)
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  • Hypostatic Abstraction in Empirical Science.T. L. Short - 1988 - Grazer Philosophische Studien 32 (1):51-68.
    In empirical science, hypostatic abstraction posits an entity defined by its assumed physical relation to a known phenomenon. If the assumed relation is real, the posited entity is physically real and is not an ens rationis. The posited entity, being identified indirectly, by its relation to something else, may be the agreed-upon subject of mutually incommensurable theories, and this is a key to understanding the history of science. Natural kinds may be introduced by hypostatic abstraction, and this explains why, contrary (...)
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  • Learning by abduction: A geometrical interpretation.Inna Semetsky - 2005 - Semiotica 2005 (157):199-212.
    This paper posits Peirce’s logical category of abduction as a necessary component in the learning process. Because of the cardinality of categories, Thirdness always contains in itself the Firstness of abduction. In psychological terms, abduction can be interpreted as intuition or insight. The paper suggests that abduction can be modeled as a vector on a complex plane. Such geometrical interpretation of the triadic sign helps to clarify the paradox of new knowledge that haunted us since Plato first articulated it in (...)
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  • Charles S. Peirce.William Pencak - 1995 - Semiotics:401-406.
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