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Taxonomy of improvement operators and the problem of minimal change

Abstract:

Improvement operators is a class of belief change operators that is a generalization of the usual class of iterated belief revision operators. The idea is to relax the success property, so the new information is not necessarily believed after the improvement, but to ensure that its plausibility has increased in the epistemic state. In this paper we explore this large classby defining several different subclasses. In particular, as minimal change is a hallmark of belief change, we study what are the operators that produce the minimal change among several subclasses. Copyright © 2010, Association for the Advancement of Artificial Intelligence.

Año de publicación:

2010

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Optimización matemática

    Áreas temáticas:

    • Conocimiento

    Contribuidores:

    Grespan M.M.Grespan M.M.
    Ramón Pino-PérezRamón Pino-Pérez
    Konieczny S.E.Konieczny S.E.