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  1. Deduction, Abduction, and Creativity.Tomáš Hanzal - 2024 - Acta Analytica 39 (1):163-182.
    In a discussion of Sherlock Holmes’ “science of deduction” and the related “method of exclusion,” I show that Holmes’ claim that his inferences are deductive makes sense, if we consider his theoretical presuppositions. So, it is more accurate to say that he tries to reduce abduction to deduction than that he confuses them. His theoretical framework, albeit inadequate as a theory of empirical reasoning, can be seen as a basic model of classical (symbolic) AI. The main problems of this approach (...)
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  • Data-driven approaches to empirical discovery.Pat Langley & Jan M. Zytkow - 1989 - Artificial Intelligence 40 (1-3):283-312.
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  • La Fundamentación Filosófica de los Principios No-Empíricos de Investigación.Sergio H. Menna - 2004 - Principia: An International Journal of Epistemology 8 (1):55-83.
    Non-empirical principles have always been a subject of interest of philoso-phers. Authors from different times and traditions agree that principles such as analogy or simplicity are present in the scientific practice. The disagreement comes out when these authors affirm that these principles have an epistemic function, and when they try to present reasons in order to found this state-ment. The first goal of this paper is to describe these principles and to point out their methodological importance. The second goal is (...)
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  • Conjecturing hidden entities by means of simplicity and conservation laws.Raúl E. Valdés-Pérez - 1994 - Artificial Intelligence 65 (2):247-280.
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  • The Holmesian logician: Sherlock Holmes’ “Science of Deduction and Analysis” and the logic of discovery.Emmanuel J. Genot - 2020 - Synthese 198 (11):1-18.
    This paper examines whether Sherlock Holmes’ “Science of Deduction and Analysis,” as reconstructed by Hintikka and Hintikka The sign of three: Peirce, Dupin, Holmes, Indiana University Press, Bloomington, 1983), exemplifies a logic of discovery. While the Hintikkas claimed it does, their approach remained largely programmatic, and ultimately unsuccessful. Their reconstruction must thus be expanded, in particular to account for the role of memory in inquiry. Pending this expansion, the Hintikkas’ claim is vindicated. However, a tension between the naturalistic aspirations of (...)
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  • Peirce and the autonomy of abductive reasoning.Tomis Kapitan - 1992 - Erkenntnis 37 (1):1 - 26.
    Essential to Peirce's distinction among three kinds of reasoning, deduction, induction and abduction, is the claim that each is correlated to a unique species of validity irreducible to that of the others. In particular, abductive validity cannot be analyzed in either deductive or inductive terms, a consequence of considerable importance for the logical and epistemological scrutiny of scientific methods. But when the full structure of abductive argumentation — as viewed by the mature Peirce — is clarified, every inferential step in (...)
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  • Naturalizing Epistemology: Quine, Simon and the Prospects for Pragmatism.Stephen Stich - 1993 - Royal Institute of Philosophy Supplement 34:1-17.
    In recent years there has been a great deal of discussion about the prospects of developing a ‘naturalized epistemology’, though different authors tend to interpret this label in quite different ways. One goal of this paper is to sketch three projects that might lay claim to the ‘naturalized epistemology’ label, and to argue that they are not all equally attractive. Indeed, I'll maintain that the first of the three—the one I'll attribute to Quine—is simply incoherent. There is no way we (...)
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  • Naturalizing epistemology: Quine, Simon and the prospects for pragmatism.Stephen Stich - 1993 - In C. Hookway & D. Peterson (eds.), Philosophy and Cognitive Science, Royal Institute of Philosophy, Supplement no. 34. Cambridge University Press. pp. 1-17.
    In recent years there has been a great deal of discussion about the prospects of developing a “naturalized epistemology,” though different authors tend to interpret this label in quite different ways.1 One goal of this paper is to sketch three projects that might lay claim to the “naturalized epistemology” label, and to argue that they are not all equally attractive. Indeed, I’ll maintain that the first of the three – the one I’ll attribute to Quine – is simply incoherent. There (...)
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  • Herbert Simon’s Computational Models of Scientific Discovery.Stephen Downes - 1990 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990 (1):97-108.
    Herbert Simon’s work on scientific discovery deserves serious attention by philosophers of science for several reasons. First, Simon was an early advocate of rational scientific discovery, contra Popper and logical empiricist philosophers of science (Simon 1966). This proposal spurred on investigation of scientific discovery in philosophy of science, as philosophers used and developed Simon’s notions of “problem solving” and “heuristics” in attempts to provide rational accounts of scientific discovery (See Nickles 1980a, Wimsatt 1980). Second, Simon promoted and developed many of (...)
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  • Scientific problems and questions from a logical point of view.Mark Burgin & Vladimir Kuznetsov - 1994 - Synthese 100 (1):1 - 28.
    Scientific knowledge systems function as effective and specialized apparatus for formulating, analyzing and solving scientific problems. In science, problems become internal parts of the knowledge systems; thus they acquire new forms and properties in comparison with common-sense problems. Definite theoretical structures connected with problems and questions appear in the theory. Among them are erotetic expressions and languages, calculi and algebras of problems. On the basis of the structure-nominative reconstruction of a theory, the unified treatment of these structures is given. Methods (...)
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  • Discovery without a ‘logic’ would be a miracle.Benjamin C. Jantzen - 2016 - Synthese 193 (10).
    Scientists routinely solve the problem of supplementing one’s store of variables with new theoretical posits that can explain the previously inexplicable. The banality of success at this task obscures a remarkable fact. Generating hypotheses that contain novel variables and accurately project over a limited amount of additional data is so difficult—the space of possibilities so vast—that succeeding through guesswork is overwhelmingly unlikely despite a very large number of attempts. And yet scientists do generate hypotheses of this sort in very few (...)
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  • Local and normative rationality of science: The 'content of discovery' rehabilitated. [REVIEW]Peter P. Kirschenmann - 1991 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 22 (1):61-72.
    Summary The recent turn to the ‘context of discovery’ and other ‘postmodernist’ developments in the philosophy of science have undermined the idea of a universal rationality of science. This parallels the fate of the classical dream of a logic of discovery. Still, justificational questions have remained as a distinct perspective, though comprising both consequential and generative justification — an insight delayed by certain confusions about the (original) context distinction. An examination of one particular heuristic strategy shows its local rationality; even (...)
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