Model-Based Reasoning in Scientific Discovery

Author:   L. Magnani ,  N.J. Nersessian ,  Paul Thagard
Publisher:   Springer Science+Business Media
Edition:   1999 ed.
ISBN:  

9780306462924


Pages:   343
Publication Date:   31 October 1999
Format:   Hardback
Availability:   In Print   Availability explained
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Model-Based Reasoning in Scientific Discovery


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Author:   L. Magnani ,  N.J. Nersessian ,  Paul Thagard
Publisher:   Springer Science+Business Media
Imprint:   Kluwer Academic/Plenum Publishers
Edition:   1999 ed.
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   1.500kg
ISBN:  

9780306462924


ISBN 10:   0306462923
Pages:   343
Publication Date:   31 October 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Models, Mental Models, and Representations.- Model-Based Reasoning in Conceptual Change5.- Tracing the Development of Models in the Philosophy of Science.- Using Models to Represent Reality.- Models and Diagrams within the Cognitive Field.- Theories, Models, and Representations.- How Scientists Build Models InVivo Science as a Window on the Scientific Mind.- Discovery Processes and Mechanisms.- A Simulation of Model-Based Reasoning about Disparate Phenomena.- Scientific Discovery and Technological Innovation: Ulcers, Dinosaur Extinction, and the Programming Language Java.- A Hierarchy of Models and Electron Microscopy.- Expansion and Justification of Models: the Exemplary Case of Galileo Galilei.- Simplifying Bayesian Inference: the General Case.- Complexity versus Complex Systems: A New Approach to Scientific Discovery.- Creative Inferences and Abduction.- Model-Based Reasoning in Creative Processes.- Model-Based Creative Abduction.- Abduction and Geometrical Analysis. Notes on Charles S. Peirce and Edgar Allan Poe.- The Hierarchy of Models in Simulation.- Fictionalism and the Logic of “As If” Conditionals.- Scientific Modeling: A Multilevel Feedback Process.- Author Index.

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