A graded BDI agent model to represent and reason about preferences
Publication Type:
Journal ArticleSource:
Artificial Intelligence, Elsevier, Volume 175, p.1468-1478 (2011)Keywords:
BDI agents; multi-context systems; uncertainty; bipolar preferences; fuzzy logicAbstract:
In this research note, we introduce a graded BDI agent development framework, g-BDI for short, that allows to build agents as multi-context systems that reason about three fundamental and \emph{graded} mental attitudes (i.e. beliefs, desires and intentions). We propose a sound and complete logical framework for them and some logical extensions to accommodate slightly different views on desires.
