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Lookup NU author(s): Dr Mengwei XuORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Implementations of the Belief-Desire-Intention (BDI) architecture have a long tradition in the development of autonomous agent systems. However, most practical implementations of the BDI framework rely on a pre-defined plan library for decision-making, which places a significant burden on programmers, and still yields systems that may be brittle, struggling to achieve their goals in dynamic environments. This paper overcomes this limitation by introducing an operational semantics for BDI systems that rely on Classical Planning at run time to both cope with failures that were unforeseeable and synthesise new plans that were unspecified at design time. This semantics places particular emphasis on the interaction of the reasoning cycle and an underlying planning algorithm. We empirically demonstrate the practical feasibility and generality of such an approach in an implementation of this semantics within two popular BDI platforms together with in-depth computational evaluation.
Author(s): Xu M, Lumley T, Fraga Pereira R, Meneguzzi F
Editor(s): Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto Bugarín-Diz, José M. Alonso-Moral, Senén Barro, Fredrik Heintz
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 27th European Conference on Artificial Intelligence (ECAI 2024)
Year of Conference: 2024
Pages: 1365-1372
Online publication date: 17/10/2024
Acceptance date: 25/07/2024
Date deposited: 06/12/2024
ISSN: 1879-8314
Publisher: IOS Press
URL: https://doi.org/10.3233/FAIA240636
DOI: 10.3233/FAIA240636
Library holdings: Search Newcastle University Library for this item
Series Title: Frontiers in Artificial Intelligence and Applications
ISBN: 9781643685489
