Quantifying the completeness of goals in BDI agent systems

Conference paper (2014)

Authors

John Thangarajah Royal Melbourne Institute of Technology University
James Harland Royal Melbourne Institute of Technology University
David N. Morley Lingonautic, Inc
Neil Yorke-Smith University of Cambridge, American University of Beirut
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Published Date

2014

Language

English

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Abstract

Given the current set of intentions an autonomous agent may have, intention selection is the agent's decision which intention it should focus on next. Often, in the presence of conflicts, the agent has to choose between multiple intentions. One factor that may play a role in this deliberation is the level of completeness of the intentions. To that end, this paper provides pragmatic but principled mechanisms for quantifying the level of completeness of goals in a BDI-style agent. Our approach leverages previous work on resource and effects summarization but we go beyond by accommodating both dynamic resource summaries and goal effects, while also allowing a non-binary quantification of goal completeness. We demonstrate the computational approach on an autonomous robot case study.

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