Formalizing context-based reasoning: A modeling paradigm for representing tactical human behavior

Authors:
Avelino J. Gonzalez;Brian S. Stensrud;Gilbert Barrett
Affiliations:
Intelligent Systems Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2450;Intelligent Systems Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2450;Intelligent Systems Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2450
Venue:
International Journal of Intelligent Systems
Year:
2008

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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. © 2008 Wiley Periodicals, Inc.