Model-Based Reasoning in Science and Technology

1. Front Matter

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2. Abduction, Problem Solving, and Practical Reasoning

   1. Front Matter

      Pages 1-1

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   2. Virtuous Distortion

      • John Woods, Alirio Rosales

      Pages 3-30

   3. Naturalizing Peirce’s Semiotics: Ecological Psychology’s Solution to the Problem of Creative Abduction

      • Alex Kirlik, Peter Storkerson

      Pages 31-50

   4. Smart Abducers as Violent Abducers

      • Lorenzo Magnani

      Pages 51-82

   5. Different Cognitive Styles in the Academy-Industry Collaboration

      • Riccardo Viale

      Pages 83-105

   6. Abduction, Induction, and Analogy

      • Gerhard Minnameier

      Pages 107-119

   7. Belief Revision vs. Conceptual Change in Mathematics

      • Woosuk Park

      Pages 121-134

   8. Affordances as Abductive Anchors

      • Emanuele Bardone

      Pages 135-157

   9. A Model-Based Reasoning Approach to Prevent Crime

      • Tibor Bosse, Charlotte Gerritsen

      Pages 159-177

   10. Abducing the Crisis

       • Ricardo F. Crespo, Fernando Tohmé, Daniel Heymann

       Pages 179-198

   11. Pathophysiology of Cancer and the Entropy Concept

       • Konradin Metze, Randall L. Adam, Gian Kayser, Klaus Kayser

       Pages 199-206

   12. A Pattern Language for Roberto Burle Marx Landscape Design

       • Carlos Eduardo Verzola Vaz, Maria Gabriela Caffarena Celani

       Pages 207-219

   13. A Visual Model of Peirce’s 66 Classes of Signs Unravels His Late Proposal of Enlarging Semiotic Theory

       • Priscila Borges

       Pages 221-237

   14. The Role of Agency Detection in the Invention of Supernatural Beings

       • Tommaso Bertolotti, Lorenzo Magnani

       Pages 239-262

3. Formal and Computational Aspects of Model Based Reasoning

   1. Front Matter

      Pages 263-263

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   2. Does Logic Count?

      • Jaakko Hintikka

      Pages 265-274

   3. Causal Abduction and Alternative Assessment: A Logical Problem in Penal Law

      • Claudio Pizzi

      Pages 275-289

   4. On a Theoretical Analysis of Deceiving: How to Resist a Bullshit Attack

      • Walter Carnielli

      Pages 291-299

   5. Using Analogical Representations for Mathematical Concept Formation

      • Alison Pease, Simon Colton, Ramin Ramezani, Alan Smaill, Markus Guhe

      Pages 301-314

The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Technology (MBR09_BRAZIL), held at the University of Campinas (UNICAMP), Campinas, Brazil, December 2009. The presentations given at the conference explored how scientific cognition, but several other kinds as well, use models, abduction, and explanatory reasoning to produce important or creative changes in theories and concepts. Some speakers addressed the problem of model-based reasoning in technology, and stressed the issue of science and technological innovation. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in logic, science, and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers. The book is divided in three parts, which cover the following main areas: part I, abduction, problem solving, and practical reasoning; part II: formal and computational aspects of model based reasoning; part III, models, mental models, representations.

• Memory
• cognition
• computational intelligence
• genetic programming
• knowledge
• logic
• mathematics
• model
• modeling
• problem solving
• robot
• robotics
• science
• simulation
• technology

• Università di Pavia, Pavia, Italy

  Lorenzo Magnani

• CLE State University of Campinas, Campinas, Brazil

  Walter Carnielli

• Università di Siena, Siena, Italy

  Claudio Pizzi

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