Plan Selection for Probabilistic BDI Agents

Jianbing Ma, Weiru Liu, Jun Hong, Lluis Godo , Carles Sierra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

When an agent wants to fulfill its desires about the world, the agent usually has multiple plans to choose from and these plans have different pre-conditions and additional effects in addition to achieving its goals. Therefore, for further reasoning and interaction with the world, a plan selection strategy (usually based on plan cost estimation) is mandatory for an autonomous agent. This demand becomes even more critical when uncertainty on the observation of the world is taken into account, since in this case, we consider not only the costs of different plans, but also their chances of success estimated according to the agent's beliefs. In addition, when multiple goals are considered together, different plans achieving the goals can be conflicting on their preconditions (contexts) or the required resources. Hence a plan selection strategy should be able to choose a subset of plans that fulfills the maximum number of goals while maintaining context consistency and resource-tolerance among the chosen plans. To address the above two issues, in this paper we first propose several principles that a plan selection strategy should satisfy, and then we present selection strategies that stem from the principles, depending on whether a plan cost is taken into account. In addition, we also show that our selection strategy can partially recover intention revision.
Original languageEnglish
Title of host publicationTools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages83-90
Number of pages10
ISBN (Print)ISSN 1082-3409
DOIs
Publication statusPublished - 10 Nov 2014
Event2014 IEEE 26th International Conference on Tools with Artificial Intelligence - - Limassol, Cyprus
Duration: 10 Nov 201411 Nov 2014

Conference

Conference2014 IEEE 26th International Conference on Tools with Artificial Intelligence -
CountryCyprus
CityLimassol
Period10/11/201411/11/2014

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  • Projects

    R1070CSC: Providing Autonomous Capabilities for Evolving SCADA (PACES)

    Liu, W., Hong, J. & Sezer, S.

    01/08/201131/03/2016

    Project: Research

    Cite this

    Ma, J., Liu, W., Hong, J., Godo , L., & Sierra, C. (2014). Plan Selection for Probabilistic BDI Agents. In Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on (pp. 83-90). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICTAI.2014.23