Knowledge-based simulation : methodology and application
著者
書誌事項
Knowledge-based simulation : methodology and application
（Advances in simulation, v. 4）
Springer-Verlag, c1991
- : us
- : gw
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注記
Bibliography: p. 277-286
Includes index
内容説明・目次
- 巻冊次
-
: us ISBN 9780387973746
内容説明
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.
目次
I. Methodology.- 1. Application of Artificial Intelligence Techniques to Simulation.- 2. The DEVS-Scheme Modelling and Simulation Environment.- 3. Methods for Qualitative Modeling in Simulation.- 4. Dynamic Templates and Semantic Rules for Simulation Advisors and Certifiers.- 5. Knowledge Acquisition Based on Representation (KAR) for Design Model Development.- 6. Automatic Model Generation for Troubleshooting.- 7. From CAD/CAM to Simulation: Automatic Model Generation for Mechanical Devices.- II. Application.- 8. Knowledge-Based Simulation at the RAND Corporation.- 9. An Architecture for High-Level Human Task Animation Control.- 10. The Acquisition of Cognitive Simulation Models: A Knowledge-Based Training Approach.- 11. Strategic Automatic Discovery System (STRADS).- 12. Uncertainty Management in Battle-Planning Software.- Biographies.
- 巻冊次
-
: gw ISBN 9783540973744
内容説明
This book represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation, linking the fields of computer simulation and artificial intelligence. This book should 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-intensive information into a simulation model, and new applications that utilize these methods.
目次
- Methodology - the application of artificial intelligence techniques to simulation
- the DEVS-SCHEME modeling and simulation environment
- methods for qualitative modelling in simulation
- dynamic templates and semantic rules and facts in a simulation advisor and certifier
- a rule-based approach to the generation of model structures
- automatic models generation for trouble-shooting
- from CAD/CAM to simulation - automatic model generation for mechanical devices
- applications - knowledge-based simulation at Rand
- an architecture for high-level human task animation control
- the acquisition of cognitive simulation models
- strategic automatic discovery system (STRADS)
- uncertainty management in battle-planning software.
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