Title :
Artificial intelligence and simulation (tutorial)
Author :
Rothenberg, Jeff
Author_Institution :
Rand Corp., Santa Monica, CA, USA
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;
Conference_Titel :
Simulation Conference, 1990. Proceedings., Winter
Conference_Location :
New Orleans, LA
Print_ISBN :
0-911801-72-3
DOI :
10.1109/WSC.1990.129481