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Abductive inference: computation, philosophy, technology

New York: Cambridge University Press (1994)

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  1. The activation of hypotheses during abductive reasoning.Martin Rk Baumann, Katja Mehlhorn & Franziska Bocklisch - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society.
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  • Abductive belief revision in science.Gerhard Schurz - 2011 - In Erik J. Olson Sebastian Enqvist (ed.), Belief Revision meets Philosophy of Science. Springer. pp. 77--104.
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  • Creativity and emotion: Reformulating the Romantic theory of art.Joseph L. Flanders - forthcoming - Cognitio: Matter and Mind.
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  • A syllogism for formulating hypotheses.Jungsub Kim & Donald J. Cunningham - 2003 - Semiotica 2003 (144).
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  • An argumentation model of forensic evidence in fine art attribution.Douglas Walton - 2013 - AI and Society 28 (4):509-530.
    In this paper, a case study is conducted to test the capability of the Carneades Argumentation System to model the argumentation in a case where forensic evidence was collected in an investigation triggered by a conflict among art experts on the attribution of a painting to Leonardo da Vinci. A claim that a portrait of a young woman in a Renaissance dress could be attributed to da Vinci was initially dismissed by art experts. Forensic investigations were carried out, and evidence (...)
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  • Abduction and Metaphor: An Inquiry into Common Cognitive Mechanism.X. U. Cihua & L. I. Hengwei - 2011 - Frontiers of Philosophy in China 6 (3):480-491.
    Abduction and metaphor are two significant concepts in cognitive science. It is found that the both mental processes are on the basis of certain similarity. The similarity inspires us to seek the answers to the following two questions: Whether there is a common cognitive mechanism behind abduction and metaphor? And if there is, whether this common mechanism could be interpreted within the unified frame of modern intelligence theory? Centering on these two issues, the paper attempts to characterize and interpret the (...)
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  • Understanding Natural Science Based on Abductive Inference: Continental Drift.Jun-Young Oh - 2014 - Foundations of Science 19 (2):153-174.
    This study aims to understand scientific inference for the evolutionary procedure of Continental Drift based on abductive inference, which is important for creative inference and scientific discovery during problem solving. We present the following two research problems: (1) we suggest a scientific inference procedure as well as various strategies and a criterion for choosing hypotheses over other competing or previous hypotheses; aspects of this procedure include puzzling observation, abduction, retroduction, updating, deduction, induction, and recycle; and (2) we analyze the “theory (...)
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  • Use of current explanations in multicausal abductive reasoning.Todd R. Johnson & Josef F. Krems - 2001 - Cognitive Science 25 (6):903-939.
    In multicausal abductive tasks a person must explain some findings by assembling a composite hypothesis that consists of one or more elementary hypotheses. If there are n elementary hypotheses, there can be up to 2n composite hypotheses. To constrain the search for hypotheses to explain a new observation, people sometimes use their current explanation—the previous evidence and their present composite hypothesis of that evidence; however, it is unclear when and how the current explanation is used. In addition, although a person's (...)
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  • Executive Control of Scientific Discovery.Eric G. Freedman - 1998 - Philosophica 62 (2).
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  • The Influence of Anomalous Data on Solving Human Abductive Tasks.Andreas Keinarh & Josef F. Krems - 1998 - Philosophica 61 (1).
    This paper describes an abductive process model of anomalous data integration. The model makes use of the entrenchment of the current explanation and the probability of alternative explanations. It is hypothesised that increasing confirmation of the anom-aly itself increases the probability of alternative explanations. In an experimental study we found that both the entrenchment of an existing explanation and confirmation of the anomaly clearly influence how people resolve anomalous data. These results are in agreement with the predic-tions of the model.
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  • Changing minds about climate change: Belief revision, coherence, and emotion.Paul Thagard & Scott Findlay - 2011 - In Erik J. Olson Sebastian Enqvist (ed.), Belief Revision meets Philosophy of Science. Springer. pp. 329--345.
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  • Abduction and metaphor: An inquiry into common cognitive mechanism. [REVIEW]Cihua Xu & Hengwei Li - 2011 - Frontiers of Philosophy in China 6 (3):480-491.
    Abduction and metaphor are two significant concepts in cognitive science. It is found that the both mental processes are on the basis of certain similarity. The similarity inspires us to seek the answers to the following two questions: (1) Whether there is a common cognitive mechanism behind abduction and metaphor? And (2) if there is, whether this common mechanism could be interpreted within the unified frame of modern intelligence theory? Centering on these two issues, the paper attempts to characterize and (...)
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  • Reconstruction of past Events from Memory: An Alternative to the Hypothetico-Deductive (H-D) Method.Sam S. Rakover - 2002 - Behavior and Philosophy 30:101 - 122.
    According to the demand of the Hypothetico-Deductive (H-D) method, a theory is confirmed when the prediction-observation (p-o) gap is small and disconfirmed when the gap is large. A major goal of this paper is to introduce a research domain for which this demand does not hold. In contrast to the H-D method's demand, this research, called the Catch model for reconstructing a face previously seen from memory, requires an increase, within limits, in the p-o gap. The Catch model research substantiates (...)
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  • Models of scientific explanation.Paul Thagard & Abninder Litt - 2008 - In Ron Sun (ed.), The Cambridge handbook of computational psychology. New York: Cambridge University Press. pp. 549--564.
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  • Cheating neuropsychologists: A study of cognitive processes involved in scientific anomalies resolution.Luca Pezzullo - 2002 - Mind and Society 3 (1):43-50.
    This research was carried out to explore some of the cognitive processes involved in scientific anomalies resolution. 40 subjects with a good neuropsychology expertise were asked to explain two (invented) anomalous neuropsychological cases. The subjects' efforts to give a meaningful structure to the data were recorded, and the resulting reasoning blocks were analysed to extract and compute the inferential (deductive, inductive and abductive) and analogical processes used. The processes were intercorrelated to experimentally verify the co-occurrence of different forms of logical (...)
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  • Explaining disease: Correlations, causes, and mechanisms. [REVIEW]Paul Thagard - 1998 - Minds and Machines 8 (1):61-78.
    Why do people get sick? I argue that a disease explanation is best thought of as causal network instantiation, where a causal network describes the interrelations among multiple factors, and instantiation consists of observational or hypothetical assignment of factors to the patient whose disease is being explained. This paper first discusses inference from correlation to causation, integrating recent psychological discussions of causal reasoning with epidemiological approaches to understanding disease causation, particularly concerning ulcers and lung cancer. It then shows how causal (...)
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  • Is it justifiable to abandon all search for a logic of discovery?Mehul Shah - 2007 - International Studies in the Philosophy of Science 21 (3):253 – 269.
    In his influential paper, 'Why Was the Logic of Discovery Abandoned?', Laudan contends that there has been no philosophical rationale for a logic of discovery since the emergence of consequentialism in the 19th century. It is the purpose of this paper to show that consequentialism does not involve the rejection of all types of logic of discovery. Laudan goes too far in his interpretation of the historical shift from generativism to consequentialism, and his claim that the context of pursuit belongs (...)
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  • On the prospects of a semiotic theory of learning.Torjus Midtgarden - 2005 - Educational Philosophy and Theory 37 (2):239–252.
    Taking as its exegetic point of departure Peirce's outline of a semiotic theory of cognition from the mid 1890s, this paper explores the relevance of this outline to a theory of learning and also to a broader, normative vision of education. Firstly, besides providing for fallibilism in philosophical inquiry Peirce's outline accords with critical strategies of his fellow pragmatists, such as William James's detection of the ‘psychologist's fallacy’ and John Dewey's rejection of the ‘philosophical fallacy’. It is pointed out that (...)
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  • Naturalism and Wonder: Peirce on the Logic of Hume's Argument Against Miracles.Catherine Legg - 2001 - Philosophia 28 (1-4):297-318.
    Peirce wrote that Hume’s argument against miracles (which is generally liked by twentieth century philosophers for its antireligious conclusion) "completely misunderstood the true nature of" ’abduction’. This paper argues that if Hume’s argumentative strategy were seriously used in all situations (not just those in which we seek to "banish superstition"), it would deliver a choking epistemological conservatism. It suggests that some morals for contemporary naturalistic philosophy may be drawn from Peirce’s argument against Hume.
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  • On generalising from single case studies: Epistemological reflections.Colin W. Evers & W. U. H. - 2006 - Journal of Philosophy of Education 40 (4):511–526.
    The aim of this paper is to explore the conditions under which generalisation from single case studies, in the sense of making inferences concerning a wider class of phenomena beyond a case, is reasonable. Two sets of conditions, in particular, provide the basis for our consideration of this issue. The first is an exploration of the impressive amount of empirical knowledge that is contained within the theories that are used to make observations, to classify phenomena, and to understand and interpret (...)
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  • Logics in scientific discovery.Atocha Aliseda - 2004 - Foundations of Science 9 (3):339-363.
    In this paper I argue for a place for logic inscientific methodology, at the same level asthat of computational and historicalapproaches. While it is well known that a awhole generation of philosophers dismissedLogical Positivism (not just for the logicthough), there are at least two reasons toreconsider logical approaches in the philosophyof science. On the one hand, the presentsituation in logical research has gone farbeyond the formal developments that deductivelogic reached last century, and new researchincludes the formalization of several othertypes of (...)
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