Abstract
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. © 2003 AI Access Foundation and Morgan Kaufmann Publishers. All rights reserved.
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CITATION STYLE
Wray, R. E., & Laird, J. E. (2003). An architectural approach to ensuring consistency in hierarchical execution. Journal of Artificial Intelligence Research, 19, 355–398. https://doi.org/10.1613/jair.1142
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