CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
artículos
Título:
A graded BDI agent model to represent and reason about preferences
Autor/es:
ANA CASALI; LLUÍS GODO; CARLES SIERRA
Revista:
ARTIFICIAL INTELLIGENCE
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdan; Año: 2011 vol. 175 p. 1468 - 1478
ISSN:
0004-3702
Resumen:
In this research note, we introduce a graded BDI agent development framework, g-BDIfor short, that allows to build agents as multi-context systems that reason about threefundamental and graded mental attitudes (i.e. beliefs, desires and intentions). We proposea sound and complete logical framework for them and some logical extensions toaccommodate slightly different views on desires
