A Framework for Goal-Based Semantic Compensation in Agent Systems [chapter]

Amy Unruh, James Bailey, Kotagiri Ramamohanarao
2009 Lecture Notes in Computer Science  
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.
more » ... The failure-handling knowledge is employed via a failure-handling support component associated with each agent through a goal-based interface. The use of this component decouples the specification and use of failure-handling information from the specification of the agent's domain problem-solving knowledge, and reduces the failure-handling information that an agent developer needs to provide.
doi:10.1007/978-3-642-04879-1_10 fatcat:br3ieebgfjd3loehvdvhrtvh6m