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Proceedings Paper

Case-based reasoning approach for heuristic search
Author(s): Srinivas Krovvidy; William G. Wee; Chia Yung Han
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Paper Abstract

Case Based Reasoning (CBR) is one of the recently emerging paradigms for designing intelligent systems. The preliminary studies indicate that the area is ripe for theoretical advances and innovative applications. Heuristic search is one of the most widely used techniques to solve many real world problems for obtaining optimal solutions. In this paper we identify some necessary properties of the heuristic functions to be solved in the CBR paradigm. We designed a CBR system based on these observations and performed several experiments for a heuristic search problem. We also provide an analysis to compare the performance of the CBR system with the A* search algorithm.

Paper Details

Date Published: 1 March 1991
PDF: 11 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45467
Show Author Affiliations
Srinivas Krovvidy, Univ. of Cincinnati (United States)
William G. Wee, Univ. of Cincinnati (United States)
Chia Yung Han, Univ. of Cincinnati (United States)


Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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