Title

Using contexts competition to model tactical human behavior in a simulation

Authors

Authors

A. J. Gonzalez;S. Saeki

Comments

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Keywords

Computer Science, Artificial Intelligence

Abstract

This article describes an innovative approach for representing tactical decision-making in Autonomous Intelligent Platforms, or AIP. The Competing Context Concept, is associated with the Context-Based Reasoning (CxBR) modeling paradigm, and represents an improvement thereof. CxBR uses as its basis an intuitive structure called a Context. One specific context is always in control of the AIR and it contains all the information required to control that AIP when in that situation. When the situation changes, a new context must be found that properly addresses the new situation. Upon finding such a new context, it becomes activated, and the old context deactivates itself, An AIR therefore. can be controlled intelligently through a sequence of transitions among various (pre-existing) contexts. The Competing Context Concept introduces a means to control the transition process without the need to predetermine the next contexts, This paper briefly describes the CxBR paradigm and the competing context concept extension. Results from prototype testing will also be discussed.

Journal Title

Modeling and Using Context, Proceedings

Volume

2116

Publication Date

1-1-2001

Document Type

Article

Language

English

First Page

453

Last Page

456

WOS Identifier

WOS:000175010900042

ISSN

0302-9743; 3-540-42379-6

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