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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)
Pages414-421
Number of pages8
ISBN (Electronic)9781538674499
ISBN (Print)9781538674505
DOIs
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

Abstract

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 https://ieeexplore.ieee.org/document/8576069. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 313 KB, PDF document

DOI

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