Qualitative Simulation Modeling and Analysis

1. Front Matter

   Pages i-xvi

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2. Invariance and Nominal Value Mapping as Key Themes for Qualitative Simulation

   • Paul A. Fishwick

   Pages 1-23

3. Aspects of Uncertainty in Qualitative Systems Modeling

   • George J. Klir

   Pages 24-50

4. General System Problem Solving Paradigm for Qualitative Modeling

   • François E. Cellier

   Pages 51-71

5. A Qualitative Approach to Causal Modeling

   • Richard Scheines, Peter Spirtes, Clark Glymour

   Pages 72-97

6. Causal Ordering Analysis

   • Yumi Iwasaki

   Pages 98-118

7. Qualitative Modeling in Ecology: Loop Analysis, Signed Digraphs, and Time Averaging

   • Charles J. Puccia, Richard Levins

   Pages 119-143

8. System Dynamics: Simulation for Policy Analysis from a Feedback Perspective

   • George P. Richardson

   Pages 144-169

9. Analogy Theory for a Systems Approach to Physical and Technical Systems

   • Peter M. A. L. Hezemans, Leo C. M. M. van Geffen

   Pages 170-216

10. Bondgraphs for Qualitative and Quantitative Systems Modeling

    • Jean U. Thoma

    Pages 217-239

11. Complex Dynamical Models

    • Ralph H. Abraham

    Pages 240-262

12. Qualitative Modeling Using Natural Language: An Application in System Dynamics

    • Wanda M. Austin, Behrokh Khoshnevis

    Pages 263-301

13. Natural Language, Cognitive Models, and Simulation

    • Howard W. Beck, Paul A. Fishwick

    Pages 302-325

14. Back Matter

    Pages 326-341

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Recently there has been considerable interest in qualitative methods in simulation and mathematical model- ing. Qualitative Simulation Modeling and Analysis is the first book to thoroughly review fundamental concepts in the field of qualitative simulation. The book will appeal to readers in a variety of disciplines including researchers in simulation methodology, artificial intelligence and engineering. This book boldly attempts to bring together, for the first time, the qualitative techniques previously found only in hard-to-find journals dedicated to single disciplines. The book is written for scientists and engineers interested in improving their knowledge of simulation modeling. The "qualitative" nature of the book stresses concepts of invariance, uncertainty and graph-theoretic bases for modeling and analysis.

• Digraph
• Dynamics
• Simula
• ecology
• feedback
• field
• intelligence
• modeling
• natural language
• problem solving
• review
• simulation
• simulation model
• system modeling
• uncertainty

• Computer and Information Sciences Department, University of Florida, Gainesville, USA

  Paul A. Fishwick

• Department of Computer Science, California State University, Chico, Chico, USA

  Paul A. Luker

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