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A Framework for Plan Library Evolution in BDI Agent Systems

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

Original languageEnglish
Title of host publication2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018)
Subtitle of host publicationProceedings of a meeting held 5-7 November 2018, Volos, Greece
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)9781538674499
ISBN (Print)9781538674505
DateAccepted/In press - 6 Aug 2018
DateE-pub ahead of print - 17 Dec 2018
DatePublished (current) - Feb 2019

Publication series

NameInternational Conference on Tools with Artificial Intelligence (ICTAI)
ISSN (Electronic)2375-0197


The Belief-Desire-Intention (BDI) paradigm is a flexible framework for representing intelligent agents. Practical BDI agent systems rely on a static plan library to reduce the planning problem to the simpler problem of plan selection. However, fixed pre-defined plan libraries are unable to adapt to fast-changing environments pervaded by uncertainty. In this paper, we advance the state-of-the-art in BDI agent systems by proposing a plan library evolution architecture with mechanisms to incorporate new plans (plan expansion) and drop old/unsuitable plans (plan contraction) to adapt to changes in a realistic environment. The proposal follows a principled approach to define plan library expansion and contraction operators, motivated by postulates that clearly highlight the underlying assumptions, and quantified by decision-support measures of temporal information. In particular, we demonstrate the feasibility of the proposed contraction operator by presenting a multi-criteria argumentation based decision making to remove plans exemplified in a planetary vehicle scenario.

    Research areas

  • libraries, planning, plan library expansion/contraction, multi-criteria decision making, BDI agent systems

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 313 KB, PDF document


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