DocumentCode
2934284
Title
Artificial intelligence and simulation (tutorial)
Author
Rothenberg, Jeff
Author_Institution
Rand Corp., Santa Monica, CA, USA
fYear
1990
fDate
9-12 Dec 1990
Firstpage
22
Lastpage
24
Abstract
Some of the major concepts of artificial intelligence (AI) are presented and the author illustrates their applicability to simulation using examples drawn from recent knowledge-based simulation research. He focuses on the present state of the art, current problems and limitations, and future directions and possibilities. It is pointed out that the major impact of AI research on simulation is to encourage the use of additional kinds of modeling based on inferencing, reasoning, search methods; and representations that have been developed in AI. This natural extension of simulation can produce behavioral models that answer questions beyond `what-if?´. The result is sometimes referred to as knowledge-based simulation
Keywords
digital simulation; inference mechanisms; knowledge based systems; search problems; AI research; artificial intelligence; behavioral models; future directions; inferencing; knowledge-based simulation; knowledge-based simulation research; reasoning; search methods; Artificial intelligence; Automatic speech recognition; Competitive intelligence; Computational modeling; Computer science; Image recognition; Predictive models; Psychology; Search methods; Tutorial;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 1990. Proceedings., Winter
Conference_Location
New Orleans, LA
Print_ISBN
0-911801-72-3
Type
conf
DOI
10.1109/WSC.1990.129481
Filename
129481
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