Title
Tale of two context-based formalisms for representing human knowledge
Keywords
Computer Science, Artificial Intelligence
Abstract
This paper describes an investigation that compared and contrasted Context-based Reasoning (CxBR) and Contextual Graphs (CxG), two paradigms used to represent human intelligence. The specific objectives were to increase understanding of both paradigms, identifying which, if either, excels at a particular function, and to look for potential synergism amongst them. We study these paradigms through ten different aspects, with some indication of which one excels at this particular facet of performance. We point out how they are complementary and finishes with a recommendation for a new synergistic approach, followed by an example of an application of the new approach to tactical
Journal Title
Advances in Applied Articial Intelligence, Proceedings
Volume
4031
Publication Date
1-1-2006
Document Type
Article
Language
English
First Page
137
Last Page
145
WOS Identifier
ISSN
0302-9743; 3-540-35453-0
Recommended Citation
"Tale of two context-based formalisms for representing human knowledge" (2006). Faculty Bibliography 2000s. 5983.
https://stars.library.ucf.edu/facultybib2000/5983
Comments
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