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140122 ||| eng |
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|a 9781461390725
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| 100 |
1 |
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|a Fishwick, Paul A.
|e [editor]
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| 245 |
0 |
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|a Qualitative Simulation Modeling and Analysis
|h Elektronische Ressource
|c edited by Paul A. Fishwick, Paul A. Luker
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| 250 |
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|a 1st ed. 1991
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| 260 |
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|a New York, NY
|b Springer New York
|c 1991, 1991
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| 300 |
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|a XVI, 341 p. 3 illus
|b online resource
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| 505 |
0 |
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|a 1 Invariance and Nominal Value Mapping as Key Themes for Qualitative Simulation -- 2 Aspects of Uncertainty in Qualitative Systems Modeling -- 3 General System Problem Solving Paradigm for Qualitative Modeling -- 4 A Qualitative Approach to Causal Modeling -- 5 Causal Ordering Analysis -- 6 Qualitative Modeling in Ecology: Loop Analysis, Signed Digraphs, and Time Averaging -- 7 System Dynamics: Simulation for Policy Analysis from a Feedback Perspective -- 8 Analogy Theory for a Systems Approach to Physical and Technical Systems -- 9 Bondgraphs for Qualitative and Quantitative Systems Modeling -- 10 Complex Dynamical Models -- 11 Qualitative Modeling Using Natural Language: An Application in System Dynamics -- 12 Natural Language, Cognitive Models, and Simulation -- Biographies
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| 653 |
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|a Computer simulation
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| 653 |
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|a Simulation and Modeling
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| 700 |
1 |
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|a Luker, Paul A.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
0 |
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|a Advances in Simulation
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-1-4613-9072-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 003.3
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| 520 |
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|a 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
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