Title
Comparing two context-driven approaches for representation of human tactical behavior
Abbreviated Journal Title
Knowl. Eng. Rev.
Keywords
GRAPHS; Computer Science, Artificial Intelligence
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.
Journal Title
Knowledge Engineering Review
Volume
23
Issue/Number
3
Publication Date
1-1-2008
Document Type
Review
Language
English
First Page
295
Last Page
315
WOS Identifier
ISSN
0269-8889
Recommended Citation
"Comparing two context-driven approaches for representation of human tactical behavior" (2008). Faculty Bibliography 2000s. 392.
https://stars.library.ucf.edu/facultybib2000/392
Comments
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