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
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References
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Brézillon, P., Gonzalez, A.J. (2006). Tale of Two Context-Based Formalisms for Representing Human Knowledge. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_17
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DOI: https://doi.org/10.1007/11779568_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
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