Conference Proceedings

A Framework for Goal-Based Semantic Compensation in Agent Systems

Amy Unruh, James Bailey, Kotagiri Ramamohanarao, M Barley (ed.), H Mouratidis (ed.), A Unruh (ed.), D Spears (ed.), P Scerri (ed.), F Massacci (ed.)

SAFETY AND SECURITY IN MULTIAGENT SYSTEMS | SPRINGER-VERLAG BERLIN | Published : 2009

Abstract

This paper describes an approach to improving the robustness of an agent system by augmenting its failure-handling capabilities. The approach is based on the concept of semantic compensation: "cleaning up" failed or canceled tasks can help agents behave more robustly and predictably at both an individual and system level. Our approach is goal-based, both with respect to defining failure-handling knowledge, and in specifying a failure-handling model that makes use of this knowledge. By abstracting failure-handling 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 knowled..

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