A Framework For Goal-Based Semantic Compensation In Agent Systems

Topics:
Goal-setting
Tags:
Agent,
Business Operations,
Compensation,
Knowledge,
Real Estate
Source:
University of Melbourne

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Overview: We describe an approach to improving the robustness of an agent system by augmenting its failure-handling capabilities in a way that makes the system's behavior more predictable. Our approach is goal-based, both with respect to defining failure-handling knowledge, and in associating this knowledge with agent tasks. By abstracting this knowledge above the level of specific actions or task implementations, it is not tied to specific agent architectures or task plans and is more widely applicable. The failure-handling knowledge is employed via a failure-handling support component associated with each agent through a goal-based interface.

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Format: PDF | Size: 500KB | Date: May 2004 | Pages: 16

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