Fishwick / Modjeski Knowledge-Based Simulation

Methodology and Application
Erscheinungsjahr 2012
ISBN: 978-1-4612-3040-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 4, 293 Seiten, eBook

Reihe: Advances in Simulation

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.

Zielgruppe

Research

Autoren/Hrsg.

Fishwick, Paul A.

Modjeski, Richard B.

Inhaltsverzeichnis

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.