A FRAMEWORK FOR INTEGRATING ARTIFICIAL-INTELLIGENCE AND SIMULATION

Georgios I. Doukidis

doi:10.1007/BF00851350

1994-01-01

PRE

Georgios I. Doukidis *

DOI：10.1007/BF00851350

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摘要

En 中文

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.

Keyword:

DISCREET-EVENT SIMULATION

3-PHASE SIMULATION MODELS

ARTIFICIAL INTELLIGENCE

EXPERT SYSTEMS

KNOWLEDGE BASED SYSTEMS

期刊

Artificial Intelligence Review

IF:

13.9

论文数:

6.1K

被引数:

1.9W

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暂无机构信息

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