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Model-Based Reasoning in Scientific Discovery

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-1
  2. Models, Mental models, and Representations

    1. Front Matter

      Pages 3-3
    2. Model-Based Reasoning in Conceptual Change

      • Nancy J. Nersessian
      Pages 5-22
    3. Using Models to Represent Reality

      • Ronald N. Giere
      Pages 41-57
    4. Models and Diagrams within the Cognitive Field

      • Kenneth J. Knoespel
      Pages 59-73
    5. Theories,Models,and Representations

      • Mauricio Suárez
      Pages 75-83
  3. Discovery Processes and Mechanisms

    1. Front Matter

      Pages 101-101
    2. A Simulation of Model-Based Reasoning about Disparate Phenomena

      • David C. Gooding, Tom R. Addis
      Pages 103-123
    3. Simplifying Bayesian Inference: The General Case

      • Stefan Krauß, Laura Martignon, Ulrich Hoffrage
      Pages 165-179
  4. Creative Inferences and Abduction

    1. Front Matter

      Pages 197-197
    2. Model-Based Creative Abduction

      • Lorenzo Magnani
      Pages 219-238
    3. The Hierarchy of Models in Simulation

      • Eric Winsberg
      Pages 255-269

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

  • University of Pavia, Pavia, Italy

    Lorenzo Magnani

  • Georgia Institute of Technology, Atlanta, USA

    Nancy J. Nersessian

  • University of Waterloo, Waterloo, Canada

    Paul Thagard

Bibliographic Information

Buy it now

Buying options

eBook USD 299.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access