Presentation 1998/9/24
Performance Analysis of Multi-State Commitment Search
Tomohisa MIYAJI, Yasuhiko KITAMURA, Makoto YOKOO, Shoji TATSUMI,
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Abstract(in English) We analyze Multi-State Commitment(MSC) Search algorithms which are heuristic search algorithms for semi-optimal solutions. We compare MSC-RTA^* with the original RTA^* on 15-puzzle, tower of hanoi, and maze problems, and show that if a problem has serializable subgoals, or a stage-space graph which have states with identical heuristic values, MSC-RTA^* can show superiority over RTA^*. We then show that NSC-WA^* can find solution with fewer state expansions than original WA^* on the problems in which cutting branches is effective. Finally, we make three artificial models with these properties espectively, and verify the performance by experiments on the models.
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Keyword(in English) heuristic search / commitment / semi-optimal solution
Paper # AI98-37
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Committee AI
Conference Date 1998/9/24(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Analysis of Multi-State Commitment Search
Sub Title (in English)
Keyword(1) heuristic search
Keyword(2) commitment
Keyword(3) semi-optimal solution
1st Author's Name Tomohisa MIYAJI
1st Author's Affiliation Dept.of Information and Communication Engineering, Faculty of Engineering, Osaka City University()
2nd Author's Name Yasuhiko KITAMURA
2nd Author's Affiliation Dept.of Information and Communication Engineering, Faculty of Engineering, Osaka City University
3rd Author's Name Makoto YOKOO
3rd Author's Affiliation NTT Communication Science Laboratories
4th Author's Name Shoji TATSUMI
4th Author's Affiliation Dept.of Information and Communication Engineering, Faculty of Engineering, Osaka City University
Date 1998/9/24
Paper # AI98-37
Volume (vol) vol.98
Number (no) 296
Page pp.pp.-
#Pages 8
Date of Issue