Computer Science – Artificial Intelligence
Scientific paper
2011-06-24
Journal Of Artificial Intelligence Research, Volume 19, pages 355-398, 2003
Computer Science
Artificial Intelligence
Scientific paper
10.1613/jair.1142
Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in asserted knowledge. We explore the problematic consequences of persistent assumptions in the reasoning process and introduce novel potential solutions. Having implemented one of the possible solutions, Dynamic Hierarchical Justification, its effectiveness is demonstrated with an empirical analysis.
Laird John E.
Wray R. E.
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