Xref: utzoo comp.ai:8629 comp.ai.philosophy:661 alt.cyb-sys:130 comp.theory.dynamic-sys:173 Path: utzoo!utgpu!cs.utexas.edu!hellgate.utah.edu!csn!ncar!elroy.jpl.nasa.gov!swrinde!ucsd!hub.ucsb.edu!engrhub!springer From: springer@engrhub Newsgroups: comp.ai,comp.ai.philosophy,alt.cyb-sys,comp.theory.dynamic-sys Subject: Advances in simulation: new book release Message-ID: <9526@hub.ucsb.edu> Date: 28 Feb 91 18:26:27 GMT Sender: news@hub.ucsb.edu Reply-To: springer@engrhub () Organization: University of California, Santa Barbara Lines: 51 ANNOUNCEMENT OF A NEW BOOK: QUALITATIVE SIMULATION MODELING AND ANALYSIS edited by Paul A. Fishwick and Paul A. Luker (with a foreword by Herb A. Simon) Volume 5 in the Series Advances in Simulation (edited by Paul A. Luker and Bernd Schmidt) Springer-Verlag, New York, 1991. Approx. 330 pages, 122 Illustr.; ISBN 0-387-97400-8; $44.00. Qualitative simulation can be defined in a number of ways and from a variety of perspectives. In general terms it can be defined as a classification of simulation and modeling methods that are primarily non-numerical in nature. The qualitative characterization of systems can apply to simulation input, output, model structure, and analysis. Qualitative study does not preclude quantitative approaches - instead it can augment them. The study of how one can utilize symbolic forms in simulation modeling is a key concern of qualitative simulation. Pictorial methods are important in simulation modeling since these methods let users create system analogies by using graph-based techniques. There is substantial evidence of qualitative methodology in a wide variety of disciplines from ecological system modeling to power flow modeling in mechanical engineering. This book brings together many otherwise disparate sources under the umbrella of qualitative simulation and analysis. The study of qualitative simulation, like simulation in general, is highly inter-disciplinary, and so qualitative methods as described within each chapter will have a wide range of utility to those who are seeking more comprehensible and flexible simulation methods. Chapters: 1. Invariance and Nominal Value Mapping as Key Themes for Qualitative Simulation, Paul A. Fishwick 2. Aspects of Uncertainty in Qualitative Systems Modelling, George J. Klir 3. General System Problem Solving Paradigm, for Qualitative Modeling, Francois E. Cellier 4. A Qualitative Approach to Causal Modeling, Richard Scheines, Peter Spirtes and Clark Glymour 5. Causal Ordering Analysis, Yumi Iwasaki 6. Qualitative Modeling in Ecology: Loop Analysis, Signed Digraphs and Time Averaging, Charles J. Puccia and Richard Levins 7. System Dynamics: Simulation for Policy Analysis from a Feedback Perspective, George P. Richardson 8. Analogy Theory for a Systems Approach to Physical and Technical Systems, P.M.A.L. Hezemans and Leo van Geffen 9. Bondgraphs for Qualitative and Quantitative Systems Modelling, Jean U. Thoma 10. Complex Dynamical Models, Ralph H. Abraham 11. Qualitative Modeling Using Natural Language: An Application in System Dynamics,Wanda M. Austin and Behrokh Khoshnevis 12. Natural Language, Cognitive Models, and Simulation, Howard Beck and Paul A. Fishwick. _______________________________________________