Ebook: Qualitative Simulation Modeling and Analysis

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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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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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.
Content:
Front Matter....Pages i-xvi
Invariance and Nominal Value Mapping as Key Themes for Qualitative Simulation....Pages 1-23
Aspects of Uncertainty in Qualitative Systems Modeling....Pages 24-50
General System Problem Solving Paradigm for Qualitative Modeling....Pages 51-71
A Qualitative Approach to Causal Modeling....Pages 72-97
Causal Ordering Analysis....Pages 98-118
Qualitative Modeling in Ecology: Loop Analysis, Signed Digraphs, and Time Averaging....Pages 119-143
System Dynamics: Simulation for Policy Analysis from a Feedback Perspective....Pages 144-169
Analogy Theory for a Systems Approach to Physical and Technical Systems....Pages 170-216
Bondgraphs for Qualitative and Quantitative Systems Modeling....Pages 217-239
Complex Dynamical Models....Pages 240-262
Qualitative Modeling Using Natural Language: An Application in System Dynamics....Pages 263-301
Natural Language, Cognitive Models, and Simulation....Pages 302-325
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.
Content:
Front Matter....Pages i-xvi
Invariance and Nominal Value Mapping as Key Themes for Qualitative Simulation....Pages 1-23
Aspects of Uncertainty in Qualitative Systems Modeling....Pages 24-50
General System Problem Solving Paradigm for Qualitative Modeling....Pages 51-71
A Qualitative Approach to Causal Modeling....Pages 72-97
Causal Ordering Analysis....Pages 98-118
Qualitative Modeling in Ecology: Loop Analysis, Signed Digraphs, and Time Averaging....Pages 119-143
System Dynamics: Simulation for Policy Analysis from a Feedback Perspective....Pages 144-169
Analogy Theory for a Systems Approach to Physical and Technical Systems....Pages 170-216
Bondgraphs for Qualitative and Quantitative Systems Modeling....Pages 217-239
Complex Dynamical Models....Pages 240-262
Qualitative Modeling Using Natural Language: An Application in System Dynamics....Pages 263-301
Natural Language, Cognitive Models, and Simulation....Pages 302-325
Back Matter....Pages 326-341
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