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A graded BDI agent model to represent and reason about preferences

Other TitlesFuzzy logic
AuthorsCasali, Ana; Godo, Lluis ; Sierra, Carles
KeywordsBDI agents
Bipolar preferences
Multi-context systems
Issue Date2011
CitationArtificial Intelligence 175: 1468- 1478 (2011)
AbstractIn 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. © 2011 Elsevier B.V. All rights reserved.
Identifiersdoi: 10.1016/j.artint.2010.12.006
issn: 0004-3702
Appears in Collections:(IIIA) Artículos
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