A graded BDI agent model to represent and reason about preferences
Data(s) |
01/05/2011
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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 | |
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 |