TítolA graded BDI agent model to represent and reason about preferences
Publication TypeJournal Article
Year of Publication2011
AuthorsCasali A, Godo L, Sierra C
JournalArtificial Intelligence
Volume175
Paginació1468-1478
EditorElsevier
Paraules clauBDI agents, bipolar preferences, Fuzzy Logic, multi-context systems, uncertainty
Resum

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.