Propositional planning in BDI agents

This paper aims to describe the relationship between propositional planning systems and the process of means-end reasoning used by BDI agents. To show such relationship, we define a mapping from BDI mental states to propositional planning problems and from propositional plans back to mental states. In order to test the viability of such mapping, we have implemented it in an extension of a BDI agent model through the use of Graphplan as the propositional planning algorithm. The implementation was applied to model a case study of an agent controlled production cell. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—Intelligent agents; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search— Plan execution, formation, and generation General Terms BDI Model, Planning Keywords Propositional Planning, BDI, X-BDI

• Type: Conference
• Year: 2004
• Where: SAC
• Authors: Felipe Rech Meneguzzi, Avelino F. Zorzo, Michael da Costa Móra
• Keywords: Applied Computing, Bdi Agent, Propositional Planning, Propositional Planning Systems, SAC 2004