Incorporating Planning Into Bdi Systems
Year: 2007
Type: article
Abstract: Abstra t. Many ar\nhite\ntures of autonomous agent have been proposed throughout AI resear\nh. The most \nommon ar\nhite-tures, BDI, are pro\nedural in that they do no planning, seriously \nurtailing an agent's ability to \nope with unforeseen events. In this paper, we explore the relationship between propositional planning systems and the pro\ness of means-ends reasoning used by BDI agents and dene a mapping from BDI mental states to propositional planning problems and from propositional plans ba\nk to mental states. In order to test the viability of su\nh a mapping, we have implemented it in an extension of a BDI agent model through the use of Graphplan as the propositional planning algorithm. The implemented prototype was applied to model a \nase study of an agent \nontrolled produ\ntion \nell. Key words. Propositional Planning, Agent Models and Ar\nhite\ntures, BDI, X-BDI 1. Introdu\ntion. Development of autonomous rational agents has been one of the main drivers of arti \n ial intelligen e resear\nh for some time [37℄. Initial eorts fo\nused on disembodied means-ends reasoning with the development of problem-solving systems and generi\n planning systems, su\nh as STRIPS [15℄, later evolving into the idea of embodied problem solving entities (i.e. agents) [37℄. In this line of resear\nh, one of the most widely studied models of autonomous agents has been that supported by the mental states of beliefs, desires and intentions [7℄, or the BDI model. While eorts towards dening BDI ar\nhite\ntures have been sustained and signi \n ant, resulting in both theoreti\nal [34 ℄ and pra\nti\nal ar\nhite\ntures [14℄, they have also led to a dis\nonne\nt
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1600975594