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Comparing two context-driven approaches for representation of human tactical behavior

Published online by Cambridge University Press:  01 September 2008

AVELINO J. GONZALEZ  and
PATRICK BRÉZILLON
AVELINO J. GONZALEZ
Affiliation:
School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA; email: [email protected]
PATRICK BRÉZILLON
Affiliation:
Laboratoire d’Informatique de Paris 6, Universite Pierre & Marie Curie, Paris, France; email: [email protected]
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Abstract

This paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Graphs (CxG), two well-known context-driven approaches used to represent human intelligence and decision-making. The specific objective of this investigation was to compare and contrast both approaches to increase the readers’ understanding of each approach. We also identify which, if any, excels in a particular area, and to look for potential synergism between them. This comparison is presented according to 10 different criteria, with some indication of which one excels at each particular facet of performance. We focus the comparison on how each would represent human tactical behavior, either in a simulation or in the real world. Conceptually, these two context-driven approaches are not at the same representational level. This could provide an opportunity in the future to combine them synergistically.

Type
Articles
Information
The Knowledge Engineering Review , Volume 23 , Issue 3 , September 2008 , pp. 295 - 315
Copyright
Copyright © Cambridge University Press 2008

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