Transcription of Artificial Intelligence in Modeling and Simulation
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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.
Ontological basis for modeling and simulation. Its pruned entity structures can describe both static data sets and dynamic simulation models. Syntax Prescribes the form of messages in which information is packaged. UML Unified Modeling Language is a software development language and environment that can
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