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

    Authors

    A. J. Gonzalez; B. S. Stensrud;G. Barrett

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    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

    Language

    English

    First Page

    822

    Last Page

    847

    WOS Identifier

    WOS:000256863300003

    ISSN

    0884-8173

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