A graded BDI agent model to represent and reason about preferences

A Casali, L Godo, C Sierra - Artificial Intelligence, 2011 - Elsevier
Artificial Intelligence, 2011Elsevier
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 (ie 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.
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.
Elsevier
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