%0 Journal Article
%T Research and Development of Plangragph Based on Heuristic State Search<br>图规划框架下的启发式搜索的研究与发展
%A GU Wen-xiang
%A WANG Gai-ge
%A YIN Ming-hao
%A SUN Yan
%A <br>谷文祥
%A 王改革
%A 殷明浩
%A 孙焱
%J 计算机科学
%D 2009
%I 
%X 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.
%K AI
%K Intelligent planning
%K State heuristic search
%K GRAPHPLAN<br>人工智能
%K 智能规划
%K 启发式搜索
%K 图规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D2593DA3F33626E1F2E6D2665CCD91ED&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=708DD6B15D2464E8&sid=CA4FD0336C81A37A&eid=9CF7A0430CBB2DFD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=79