We propose and investigate new operators in the possibilistic belief revision setting, obtained as different combinations of the conditioning operators on models and countermodels, as well as of how weighted inputs are interpreted. We obtain a family of eight operators that essentially obey the basic postulates of revision, with a few slight differences. These operators show an interesting variety of behaviors, making them suitable to representing changes in the beliefs of an agent in different contexts.
Hybrid possibilistic conditioning for revision under weighted inputs / S. Benferhat, C. da Costa Pereira, A. Tettamanzi - In: ECAI 2012 : 20th European conference on artificial intelligence : 27–31 august 2012, Montpellier, France : proceedings / [a cura di] L. De Raedt, C. Bessière, D. Dubois, P. Doherty, P. Frasconi, F. Heintz, P. Lucas. - Amsterdam : IOS press, 2012. - ISBN 9781614990970. - pp. 151-156 (( Intervento presentato al 20. convegno European Conference on Artificial Intelligence (ECAI) tenutosi a Montpellier nel 2012.
Hybrid possibilistic conditioning for revision under weighted inputs
A. TettamanziUltimo
2012
Abstract
We propose and investigate new operators in the possibilistic belief revision setting, obtained as different combinations of the conditioning operators on models and countermodels, as well as of how weighted inputs are interpreted. We obtain a family of eight operators that essentially obey the basic postulates of revision, with a few slight differences. These operators show an interesting variety of behaviors, making them suitable to representing changes in the beliefs of an agent in different contexts.Pubblicazioni consigliate
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