Using causal-link graphs to detect conflicts among goals

被引:0
|
作者
Rao, Dong-Ning [1 ]
Jiang, Zhi-Hua [1 ]
Jiang, Yun-Fei [1 ]
机构
[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Peoples R China
来源
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词
artificial intelligence; automated planning; goal conflicts; causal-link graph;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Because of some "inherent" limitations, such as specifications of initial state or structures of domain actions, some goals can't be arrived together, which we call a planning task with goal conflicts. This planning task can hardly be resolved until goal conflicts are eliminated. And in such cases, people often need to know which goal conflicts a planning task contains and choose a new set of goals. In this paper, we present a technique for automatically detecting conflicts among goals by construction of a causal-link graph that captures the interactions between actions relevant to a given goal. By statically analyzing "competitive" preconditions of actions in a causal-link graph, we may inference which goals can't be reached together, without trying all best to resolve suck an irresolvable planning task. Our method is sound and scaleable, but not complete; however, it may provide important information when people think about how to reconstruct an appropriate goal set.
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页码:3087 / 3092
页数:6
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