DocumentCode :
1935160
Title :
Using Causal-Link Graphs to Detect Conflicts Among Goals
Author :
Rao, Dong-ning ; Jiang, Zhi-hua ; Jiang, Yun-fei
Author_Institution :
Sun Yat-Sen Univ., Guangzhou
Volume :
6
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
3087
Lastpage :
3092
Abstract :
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 such 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.
Keywords :
graph theory; planning (artificial intelligence); causal-link graphs; competitive precondition analysis; goal conflict detection; planning task; Artificial intelligence; Computer science; Cost function; Cybernetics; Information analysis; Machine learning; Sun; Time factors; Artificial intelligence; Automated planning; Causal-link graph; Goal conflicts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370678
Filename :
4370678
Link To Document :
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