Transcription of Artificial Intelligence in Modeling and Simulation
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Artificial Intelligence in Modeling and Simulation
Artificial Intelligence in Modeling and Simulation a,b,c aBernard Zeigler, Arizona Center for Integrative Modeling and Simulation , University of Arizona,Tucson, Arizona, USA b Alexander Muzy, CNRS, Universit di Corsica, France c Levent Yilmaz, Aurburn University, Alabama Glossary 1. Definition and the Subject and its Importance 2. Introduction 3. Review of System Theory and Framework for Modeling and Simulation 4. Fundamental Problems in M&S 5. AI-Related Software Background 6. AI Methods in Fundamental Problems of M&S 7. Automation of M&S 8. SES/Model Base Architecture for an Automated Modeler/Simulationist 9. Intelligent Agents in Simulation 10. Future Directions 11. Bibliography Glossary Behavior The observable manifestation of an interaction with a system DEVS Discrete Event System Specification formalism describes models developed for Simulation ; applications include Simulation based testing of collaborative services Endomorphic Agents Agents that contain models of themselves and/or of other endomorphic Agents.
underpinning to define a framework for modeling and simulation. Each of the entities (e.g., real world, model, simulation, and experimental frame) will be described as a system known or specified at some level of specification. The essence of modeling and simulation lies in establishing relations between pairs of system descriptions.
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