A graded BDI agent model to represent and reason about preferences

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 framewor...

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Bibliographic Details
Published in:Artificial intelligence 2011-05, Vol.175 (7), p.1468-1478
Main Authors: Casali, Ana, Godo, Lluís, Sierra, Carles
Format: Article
Language:English
Subjects:
Agents (artificial intelligence)
BDI agents
Bipolar preferences
Fuzzy logic
Multi-context systems
Uncertainty
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Summary: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.
ISSN:0004-3702
1872-7921
DOI:10.1016/j.artint.2010.12.006