A graded BDI agent model to represent and reason about preferences

Ana Casali, C. Sierra, Luis Godo Lacasa

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

Abstract

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 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.
Original languageEnglish
Pages (from-to)1468-1478
Number of pages11
JournalArtificial Intelligence
Volume175
Issue number7-8
DOIs
Publication statusPublished - May 2011

ASJC Scopus subject areas

  • Artificial Intelligence

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