Efficient Problem Solving for Planning Problem Using Conflict Resolution Strategy
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- IMANARI Fumiaki
- Department of Computer Science, Faculty of Science and Engineering, Ritsumeikan University
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- MORIMOTO Shin'ichi
- Department of Computer Science, Faculty of Science and Engineering, Ritsumeikan University
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- OGAWA Hitoshi
- Department of Computer Science, Faculty of Science and Engineering, Ritsumeikan University
Bibliographic Information
- Other Title
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- 競合解消戦略を用いた計画型問題解決の効率化
- キョウゴウ カイショウ センリャク オ モチイタ ケイカクガタ モンダイ カイケツ ノ コウリツカ
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Abstract
<p>One of the causes of inefficient problem solving for planning based on means-ends analysis is cancel of goal, which means the action that planner achieves a sub-goal and cancels it and achieves it again. In this paper, we propose the conflict resolution rule (CRR) as a heuristic for efficient problem solving, which directs to select an appropriate sub-goal in order to prevent the cancel of goals. We also propose a learning method of CRRs, in which they are obtained by analyzing sequences of operators which include the cancel of goals. Since CRRs are obtained without any domain-dependent knowledge and instructions of a teacher, they are able to be efficiently applied to larger scale or more complicated problems. We examined the availability of CRRs with "Robot Key Lock Problem". As a result of experiments, we showed to succeed in obtaining useful CRRs from a few number of training examples, and realizing efficient problem solving by generating efficient sequences of operators.</p>
Journal
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- Journal of the Japanese Society for Artificial Intelligence
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Journal of the Japanese Society for Artificial Intelligence 15 (3), 477-484, 2000-05-01
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390848647556035072
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- NII Article ID
- 110002808783
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- NII Book ID
- AN10067140
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- ISSN
- 09128085
- 24358614
- 21882266
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- NDL BIB ID
- 5373030
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed