Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2006

Abstract

This paper presents motivations and current related work in the field of plan learning. Additionally, two approaches that achieve plan learning are presented. The two presented approaches are centred on the BDI framework of agency and have particular focus on plans, which, alongside goals, are the means to fulfil intentions in most pragmatic and theoretical realisations of the BDI framework. The first approach is a hybrid architecture that combines a BDI plan extractor and executor with a generic low-level learner. The second approach uses hypotheses to suggest incremental refinements of a priori plans. Both approaches achieve plan generation that is a result of experiential learning. We conclude by discussing issues related to these two approaches, and from other related work.

Discipline

Artificial Intelligence and Robotics

Research Areas

Data Science and Engineering

Publication

Proceedings of 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06, Hong Kong, December 18-22

First Page

139

Last Page

145

ISBN

9780769527482

Identifier

10.1109/IAT.2006.100

Publisher

IEEE Computer Society

City or Country

New York

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