Title

Context-based representation of intelligent behavior in training simulations

Authors

Authors

A. J. Gonzalez;R. Ahlers

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Trans. Soc. Comput. Simul.

Keywords

training; context-based reasoning; tactical training systems; military; simulation; autonomous intelligent platforms; intelligent simulation; Computer Science, Interdisciplinary Applications; Computer Science, ; Software Engineering

Abstract

This article presents, describes and evaluates a novel behavior representation paradigm that can effectively and efficiently be used to model the behavior of intelligent entities in a simulation. Called Context-based Reasoning (CxBR), this paradigm is designed to be applicable whenever simulation of human behavior is required. However, it is especially well suited to representing tactical behavior of opponents and teammates in simulation-based tactical training systems. Representing human behavior in a simulation is a complex and difficult task that generally requires significant investment in human effort as well as in computing resources. Conciseness and simplicity of representation and efficiency of computation, therefore, are important issues when developing models of intelligent opponents. We believe that this paradigm is an improvement over the rule-based approach, currently a common technique used in representing human behavior. We have preliminarily tested CxBR in two different prototype systems. Evaluation of the prototype shows that the context-based paradigm promises to meet the desired levels of simplicity, conciseness and efficiency required for the task.

Journal Title

Transactions of the Society for Computer Simulation International

Volume

15

Issue/Number

4

Publication Date

1-1-1998

Document Type

Article

Language

English

First Page

153

Last Page

166

WOS Identifier

WOS:000078858600002

ISSN

0740-6797

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