Ebook: Knowledge-Based Simulation: Methodology and Application

Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.

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Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.

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Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.
Content:
Front Matter....Pages i-xiv
Front Matter....Pages ins1-ins1
Application of Artificial Intelligence Techniques to Simulation....Pages 1-19
The DEVS-Scheme Modelling and Simulation Environment....Pages 20-35
Methods for Qualitative Modeling in Simulation....Pages 36-52
Dynamic Templates and Semantic Rules for Simulation Advisors and Certifiers....Pages 53-76
Knowledge Acquisition Based on Representation (KAR) for Design Model Development....Pages 77-94
Automatic Model Generation for Troubleshooting....Pages 95-107
From CAD/CAM to Simulation: Automatic Model Generation for Mechanical Devices....Pages 108-132
Front Matter....Pages ins3-ins3
Knowledge-Based Simulation at the RAND Corporation....Pages 133-161
An Architecture for High-Level Human Task Animation Control....Pages 162-199
The Acquisition of Cognitive Simulation Models: A Knowledge-Based Training Approach....Pages 200-222
Strategic Automatic Discovery System (STRADS)....Pages 223-260
Uncertainty Management in Battle-Planning Software....Pages 261-276
Back Matter....Pages 277-293

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Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.
Content:
Front Matter....Pages i-xiv
Front Matter....Pages ins1-ins1
Application of Artificial Intelligence Techniques to Simulation....Pages 1-19
The DEVS-Scheme Modelling and Simulation Environment....Pages 20-35
Methods for Qualitative Modeling in Simulation....Pages 36-52
Dynamic Templates and Semantic Rules for Simulation Advisors and Certifiers....Pages 53-76
Knowledge Acquisition Based on Representation (KAR) for Design Model Development....Pages 77-94
Automatic Model Generation for Troubleshooting....Pages 95-107
From CAD/CAM to Simulation: Automatic Model Generation for Mechanical Devices....Pages 108-132
Front Matter....Pages ins3-ins3
Knowledge-Based Simulation at the RAND Corporation....Pages 133-161
An Architecture for High-Level Human Task Animation Control....Pages 162-199
The Acquisition of Cognitive Simulation Models: A Knowledge-Based Training Approach....Pages 200-222
Strategic Automatic Discovery System (STRADS)....Pages 223-260
Uncertainty Management in Battle-Planning Software....Pages 261-276
Back Matter....Pages 277-293
....