Sebastien Konieczny

2 accepted papers

2020

Belief Merging Operators as Maximum Likelihood Estimators

Patricia Everaere, Sebastien Konieczny, Pierre Marquis

IJCAI 2020poster

We study how belief merging operators can be considered as maximum likelihood estimators, i.e., we assume that there exists a (unknown) true state of the world and that each agent participating in the merging process receives a noisy signal of it, characterized by a noise model. The objective is the…

Cited by 0 Source ↗PDF ↗Scholar ↗

2020

On Computational Aspects of Iterated Belief Change

Nicolas Schwind, Sebastien Konieczny, Jean-Marie Lagniez, Pierre Marquis

IJCAI 2020poster

Iterated belief change aims to determine how the belief state of a rational agent evolves given a sequence of change formulae. Several families of iterated belief change operators (revision operators, improvement operators) have been pointed out so far, and characterized from an axiomatic point of v…

Cited by 0 Source ↗PDF ↗Scholar ↗