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140122 ||| eng |
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|a 9781461230403
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| 100 |
1 |
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|a Fishwick, Paul A.
|e [editor]
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| 245 |
0 |
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|a Knowledge-Based Simulation
|h Elektronische Ressource
|b Methodology and Application
|c edited by Paul A. Fishwick, Richard B. Modjeski
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| 250 |
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|a 1st ed. 1991
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| 260 |
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|a New York, NY
|b Springer New York
|c 1991, 1991
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| 300 |
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|a XV, 293 p. 6 illus
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Computer simulation
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer-aided engineering
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| 653 |
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|a Computer-Aided Engineering (CAD, CAE) and Design
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Simulation and Modeling
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| 700 |
1 |
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|a Modjeski, Richard B.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
0 |
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|a Advances in Simulation
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-1-4612-3040-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 003.3
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| 520 |
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|a 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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