Research Challenges in Combinatorial Search

机译：组合搜索中的研究挑战

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I provide a personal view of some of the major research challenges in the area of combinatorial search. These include solving and playing games with chance, hidden information, and multiple players, optimally solving larger instances of well-known single-agent toy problems, applying search techniques to more realistic problem domains, analyzing the time complexity of heuristic search algorithms, and capitalizing on advances in computing hardware, such as very large external memories and multi-core processors.

机译：我对组合搜索领域的一些主要研究挑战提供了个人看法。这些包括解决和玩具有机会，隐藏信息和多个玩家的游戏，以最佳方式解决较大的已知单人玩具问题实例，将搜索技术应用于更现实的问题域，分析启发式搜索算法的时间复杂度，以及大写计算硬件的进步，例如非常大的外部存储器和多核处理器。

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《IAAI-12;Innovative applications of artificial intelligence conference;AAAI conference on artificial intelligence;Symposium on educational advances in artificial intelligence;AAAI-12;EAAI-12》|2012年|p.2129-2133|共5页
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Richard E. Korf;
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中图分类人工智能理论;人工智能理论;
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Research Challenges in Combinatorial Search

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