A graded BDI agent model to represent and reason about preferences


Autoria(s): Casali, Ana; Sierra, C.; Godo Lacasa, Luis
Data(s)

01/05/2011

Resumo

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. © 2011 Elsevier B.V. All rights reserved.

Identificador

http://pure.qub.ac.uk/portal/en/publications/a-graded-bdi-agent-model-to-represent-and-reason-about-preferences(a2ba94a5-2467-485e-9b61-e165df209ff9).html

http://dx.doi.org/10.1016/j.artint.2010.12.006

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-79954917200&md5=5ad9fbeb3ba874d6bc38a574ed92310b

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Casali , A , Sierra , C & Godo Lacasa , L 2011 , ' A graded BDI agent model to represent and reason about preferences ' Artificial Intelligence , vol 175 , no. 7-8 , pp. 1468-1478 . DOI: 10.1016/j.artint.2010.12.006

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1702 #Artificial Intelligence
Tipo

article