Towards A Generic Predictive-Based Plan Selection Approach for BDI Agents

Belief-desire-intention (BDI) model is one of the most promising approaches dedicated to develop intentional agents. It provides developers with required robustness to deal with a wide variety of complex systems where flexibility and intelligence behavior of agents are needed. Existing BDI architect...

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Bibliographic Details
Published inProcedia computer science Vol. 113; pp. 41 - 48
Main Authors Baitiche, Hichem, Bouzenada, Mourad, Saïdouni, Djamel Eddine
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2017
Subjects
AmI Systems
BDI agents
BDI Model
Multi-Agent Systems
Plan Selection
AmI Systems
BDI agents
BDI Model
Multi-Agent Systems
Plan Selection
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Summary:Belief-desire-intention (BDI) model is one of the most promising approaches dedicated to develop intentional agents. It provides developers with required robustness to deal with a wide variety of complex systems where flexibility and intelligence behavior of agents are needed. Existing BDI architectures are typically composed of a set of customizable components that are composed in a reasoning cycle. The plan selection process is one of the customizable components that has an important influence on the overall agent performance. It consists of selecting among a set of applicable plans the most appropriate one to achieve a given goal. In this paper we propose a generic predictive-based plan selection approach, that aims to select for a given goal, the applicable plan that has the highest potential of being executed successfully. Based on what we refer to as selection indices, it calculates for each plan a success probability that will be used later by the selection process to select the appropriate plan.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2017.08.283