Tale of two context-based formalisms for representing human knowledge

被引：0
|
作者：
Brezillon, Patrick
Gonzalez, Avelino J.
机构：
[1] Univ Paris 06, LIP6, F-75015 Paris, France
[2] Univ Cent Florida, ECE Dept, Orlando, FL 32816 USA
来源：
ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4031卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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
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页码：137 / 145
页数：9
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