| 图规划框架下的启发式搜索的研究与发展 |
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| 引用本文： | 谷文祥,王改革,殷明浩,孙焱. 图规划框架下的启发式搜索的研究与发展[J]. 计算机科学, 2009, 36(11): 1-9 |
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| 作者姓名： | 谷文祥 王改革 殷明浩 孙焱 |
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| 作者单位： | 1. 东北师范大学计算机学院,长春,130117
2. 中国科学院研究生院,北京,100049;中国科学院长春光学精密机械与物理研究所,长春,130033 |
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| 基金项目： | 国家自然科学基金项目 |
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| 摘 要： | 随着智能规划研究的深入,以往的规划器已不能满足实际应用的需要.为了提高规划器求解实际问题的能力,启发式搜索产生了.对近10年来各种启发式搜索方法进行了分析,指出了它们的优缺点,并进行了比较.同时对智能规划及其启发式搜索的未来发展方向进行了分析与预测,旨在让研究和关心该领域的学者较为全面地了解这一领域.
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| 关 键 词： | 人工智能 智能规划 启发式搜索 图规划 |
| 收稿时间： | 2008-12-15 |
| 修稿时间： | 2009-03-09 |
Research and Development of Plangragph Based on Heuristic State Search |
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| GU Wen-xiang,WANG Gai-ge,YIN Ming-hao,SUN Yan. Research and Development of Plangragph Based on Heuristic State Search[J]. Computer Science, 2009, 36(11): 1-9 |
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| Authors: | GU Wen-xiang WANG Gai-ge YIN Ming-hao SUN Yan |
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| Affiliation: | (School of Computer Science,Northeast Normal University,Changchun 130117,China);(Graduate School of Chinese Academy of Sciences,Beijing 100049,China);(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China) |
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| Abstract: | Traditionally, planning problems are cast in terms of imperative constraints that are either wholly satisfied or wholly violated. Heuristic search is generated and improves the performance of planner. A variety of heuristic searches were argued in the near decade, then the pros and cons of it were showed. At once, the future of heuristic search was also introduced. |
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| Keywords: | AI Intelligent planning State heuristic search GRAPHPLAN |
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