Knowledge-Based Simulation (eBook, PDF)

Methodology and Application
Redaktion: Fishwick, Paul A.; Modjeski, Richard B.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer US
• Seitenzahl: 293
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461230403
• Artikelnr.: 44052937

Inhaltsangabe

Contents: Methodology: Application of Artificial Intelligence Techniques to Simulation.- The DEVS-Scheme Modeling and Simulation Environment.- Methods for Qualitative Modeling in Simulation.- Dynamic Templates and Semantic Rules for Simulation Advisors and Certifiers.- Knowledge Acquisition Based on Representation (KAR) for Design Model Development.- Automatic Model Generation for Troubleshooting.- From CAD/CAM to Simulation: Automatic Model Generation for Mechanical Devices.- Application: Knowledge- Based Simulation at RAND Corporation.- 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.- Biographies.- Index.