%0 Journal Article
%T Strategy of Extracting Domain Knowledge for STRIPS World
基于STRIPS的领域知识提取策略
%A WU Xiang-Jun
%A JIANG Yun-Fei
%A LING Ying-Biao
%A
吴向军
%A 姜云飞
%A 凌应标
%J 软件学报
%D 2007
%I
%X In this paper, a similarity relation between two predicates is defined first. To a given predicate, the set of action for the predicate can be obtained by the similarity relation. Then, the domain knowledge is extracted from the common fluent in preconditions and effects of all actions for each set of action, and the formalism for the domain knowledge is given. Finally, the contradictions in the initial states and the goal states in a particular planning problem with domain knowledge can be discovered. The strategy of extracting the domain knowledge is integrated in the planner StepByStep, and the domain knowledge is the necessary theory when one predicate by action is realized in the planner.
%K STRIPS
人工智能
%K 智能规划
%K 规划领域
%K 相似关系
%K 置换
%K 领域知识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=42886667E201E61C&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=D397660E39E3E461&eid=9B1D77939DDB4B89&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=36