Model-Based Reasoning in Science, Technology, and Medicine

  • Janusz Kacprzyk
  • Lorenzo Magnani
  • Ping Li

Part of the Studies in Computational Intelligence book series (SCI, volume 64)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Abduction, Problem Solving, and Practical Reasoning

    1. Front Matter
      Pages 2-2
    2. Lorenzo Magnani
      Pages 3-38
    3. John Woods
      Pages 69-90
    4. Maria Eunice Quilici Gonzalez, Mariana Claudia Broens, Fabricio Loffredo D'Ottaviano
      Pages 91-102
    5. Susan Petrilli
      Pages 117-130
    6. Leilei Qi, Huaxia Zhang
      Pages 147-159
    7. Francesco Amigoni, Viola Schiaffonati
      Pages 179-191
  3. Models, Mental Models, Representations, and Medical Reasoning

  4. Logical and Computational Aspects of Model-Based Reasoning

    1. Front Matter
      Pages 348-348
    2. Claudio Pizzi
      Pages 365-381
    3. Itala M. Loffredo DàOttaviano, Carlos Hifume
      Pages 383-398
    4. Antonella Ferrara, Lorenza Magnani
      Pages 399-412
    5. Stefania Bandini, Alessandro Mosca, Matteo Palmonari
      Pages 413-430
    6. Michael Hofbaur, Johannes KÖb, Gerald Steinbauer, Franz Wotawa
      Pages 431-445
    7. Fangshi Wang, De Xu, Hongli Xu, Wei Lu, Weixin Wu
      Pages 447-466
    8. Shangmin Luan, Lorenzo Magnani, Guozhong Dai
      Pages 467-496
    9. Remo Job, Claudio Mulatti
      Pages 511-525

About this book


The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR’06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. The presentations given at the conference explored how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. Some addressed the problem of model-based reasoning in technology, and stressed the issue of technological innovation and medical reasoning.  The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in science and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers.


Bayesian inference abductive reasoning artificial intelligence cognition cognitive science communication intelligence model modeling ontology problem solving robot science semantics simulation

Editors and affiliations

  • Janusz Kacprzyk
    • 1
  • Lorenzo Magnani
    • 2
  • Ping Li
    • 3
  1. 1.Polish Academy of SciencesWarsawPoland
  2. 2.University of PaviaPaviaItaly
  3. 3.Sun Yat-sen UniversityGuangzhouP.R.China

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-71985-4
  • Online ISBN 978-3-540-71986-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site