Title
Formalizing context-based reasoning: A modeling paradigm for representing tactical human behavior
Abbreviated Journal Title
Int. J. Intell. Syst.
Keywords
MEMORY; Computer Science, Artificial Intelligence
Abstract
This paper formally describes the context-based reasoning (CxBR) paradigm. CxBR can be used to represent tactical human behavior in simulations or in the real world. In problem solving, the context can be said to inherently contain much knowledge about the situation in which the problem is to be solved and/or the environment in which it must be solved. This paper discusses some of the issues involved in a context-driven representation of human behavior and introduces a formal description of CxBR. (c) 2008 Wiley Periodicals, Inc.
Journal Title
International Journal of Intelligent Systems
Volume
23
Issue/Number
7
Publication Date
1-1-2008
Document Type
Article
DOI Link
Language
English
First Page
822
Last Page
847
WOS Identifier
ISSN
0884-8173
Recommended Citation
"Formalizing context-based reasoning: A modeling paradigm for representing tactical human behavior" (2008). Faculty Bibliography 2000s. 393.
https://stars.library.ucf.edu/facultybib2000/393
Comments
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