A FRAMEWORK FOR INTEGRATING ARTIFICIAL-INTELLIGENCE AND SIMULATION

被引：6
|
作者：
DOUKIDIS, GI [1 ]
机构：
[1] UNIV LONDON LONDON SCH ECON & POLIT SCI,DEPT INFORMAT SYST,LONDON WC2A 2AE,ENGLAND
来源：
ARTIFICIAL INTELLIGENCE REVIEW | 1994年 / 8卷 / 01期
关键词：
DISCREET-EVENT SIMULATION; 3-PHASE SIMULATION MODELS; ARTIFICIAL INTELLIGENCE; EXPERT SYSTEMS; KNOWLEDGE BASED SYSTEMS;
D O I：
10.1007/BF00851350
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Both Simulation and Artificial Intelligence try to model reality for problem solving and decision making. In this paper, we propose a framework for integrating the two areas by uncovering fundamental similarities between them and opportunities for combining them which can be mutually useful. The framework also shows the potential gains for Simulation by applying Artificial Intelligence concepts (mainly expert systems) to assist in the simulation process and reveals in an organised way the potential gains for Artificial Intelligence by applying concepts derived from Simulation.
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页码：55 / 85
页数：31
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