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JRM Vol.8 No.4 pp. 351-355
doi: 10.20965/jrm.1996.p0351
(1996)

Paper:

A Study on Self-Organization of Heuristics Using Analogy

Kenichi Matsuura and Yukinori Kakazu

Faculty of Engineering, Hokkaido University, Nishi 8, Kita 13-Jyo, Kita-ku, Sapporo 060, Japan

Received:
January 31, 1996
Accepted:
February 25, 1996
Published:
August 20, 1996
Keywords:
Self-organization, Heuristics, Analogy, Cluster analysis
Abstract

To solve a given problem, the strategy which is suitable for solving its problem is used in general. Those strategies for problem solving can be treated as mapping from the problem into a solution. Besides, there will exist some kind of analogical relationship among these strategies. Thus, we can apply the method, that takes analogy of strategies with the problem which have already been solved and which is similar to the unsolved problem, to search solution for unsolved target problem. In this paper, we attempt to perform problem solving using such analogical method. To this end, first, heuristics are organized by generalizing a set of strategies for problem solving which are similar to each other. Second, those heuristics are applied to the unsolved target problem to search a solution. We have performed some computer experiments to examine the role of heuristics and utility of analogy.

Cite this article as:
Kenichi Matsuura and Yukinori Kakazu, “A Study on Self-Organization of Heuristics Using Analogy,” J. Robot. Mechatron., Vol.8, No.4, pp. 351-355, 1996.
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