Overview
- Editors:
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Lorenzo Magnani
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University of Pavia, Pavia, Italy
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Nancy J. Nersessian
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Georgia Institute of Technology, Atlanta, USA
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Paul Thagard
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University of Waterloo, Waterloo, Canada
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Table of contents (19 chapters)
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Models, Mental models, and Representations
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Discovery Processes and Mechanisms
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Front Matter
Pages 101-101
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- David C. Gooding, Tom R. Addis
Pages 103-123
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- Paul Thagard, David Croft
Pages 125-137
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- Stefan Krauß, Laura Martignon, Ulrich Hoffrage
Pages 165-179
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Creative Inferences and Abduction
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Front Matter
Pages 197-197
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About this book
The volume is based on the papers that were presented at the Interna tional Conference Model-Based Reasoning in Scientific Discovery (MBR'98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998. The papers explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The study of diagnostic, visual, spatial, analogical, and temporal rea soning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of tradi tional notions of reasoning such as classical logic. Traditional accounts of scientific reasoning have restricted the notion of reasoning primarily to de ductive and inductive arguments. Understanding the contribution of model ing practices to discovery and conceptual change in science requires ex panding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philoso phy, artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science. There are several key ingredients common to the various forms of model based reasoning to be considered in this book. The models are intended as in terpretations of target physical systems, processes, phenomena, or situations. The models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain.
Editors and Affiliations
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University of Pavia, Pavia, Italy
Lorenzo Magnani
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Georgia Institute of Technology, Atlanta, USA
Nancy J. Nersessian
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University of Waterloo, Waterloo, Canada
Paul Thagard