Multi-State Commitment search

Yasuhiko Kitamura, Makoto Yokoo, Tomohisa Miyaji, Shoji Tatsumi

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

We propose the Multi-State Commitment (MSC) method to speed-up heuristic search algorithms for semi-optimal solutions. The Real-Time A* (RTA*) and the Weighted A* (WA*) are representative heuristic search algorithms for semi-optimal solutions and can be viewed as a single-state and an all-state commitment search algorithms respectively. In these algorithms, there is a tradeoff between the risk of making wrong choices in search process and the amount of memory for the recovery, with RTA* and WA* being the extremes. The MSC method introduces a moderate and flexible characteristic into these algorithms and can increase the performance dramatically in problems such as the N-puzzle. In this paper, by introducing a commitment list, we show a modification of RTA* and WA* to their MSC versions without violating their completeness. Then, we experiment with their performance in maze and N-puzzle problems, and discuss conditions that the MSC method is effective.

Original languageEnglish
Pages (from-to)431-439
Number of pages9
JournalProceedings of the International Conference on Tools with Artificial Intelligence
Publication statusPublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 IEEE 10th International Conference on Tools with Artificial Intelligence - Taipei, China
Duration: Nov 10 1998Nov 12 1998

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All Science Journal Classification (ASJC) codes

  • Software

Cite this

Multi-State Commitment search. / Kitamura, Yasuhiko; Yokoo, Makoto; Miyaji, Tomohisa; Tatsumi, Shoji.

In: Proceedings of the International Conference on Tools with Artificial Intelligence, 01.12.1998, p. 431-439.

Research output: Contribution to journalConference article

Kitamura, Yasuhiko ; Yokoo, Makoto ; Miyaji, Tomohisa ; Tatsumi, Shoji. / Multi-State Commitment search. In: Proceedings of the International Conference on Tools with Artificial Intelligence. 1998 ; pp. 431-439.
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