Case-based reasoning approach for heuristic search
Srinivas Krovvidy, William G. Wee, Chia Yung Han · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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.