A graded BDI agent model to represent and reason about preferences

Authors:
Ana Casali;Lluís Godo;Carles Sierra
Affiliations:
Facultad de Cs. Exactas, Ingeniería y Agrimensura, Universidad Nacional de Rosario, Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS), Av. Pelle ...;Artificial Intelligence Research Institute (IIIA-CSIC), Campus de la Universitat Autònoma de Barcelona s/n, 08193 Bellaterra, Spain;Artificial Intelligence Research Institute (IIIA-CSIC), Campus de la Universitat Autònoma de Barcelona s/n, 08193 Bellaterra, Spain
Venue:
Artificial Intelligence
Year:
2011

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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.