On Lockean beliefs that are deductively closed and minimal change
By: Tommaso Flaminio , Lluis Godo , Ramón Pino Pérez and more
Potential Business Impact:
Makes beliefs logically consistent with new facts.
Within the formal setting of the Lockean thesis, an agent belief set is defined in terms of degrees of confidence and these are described in probabilistic terms. This approach is of established interest, notwithstanding some limitations that make its use troublesome in some contexts, like, for instance, in belief change theory. Precisely, Lockean belief sets are not generally closed under (classical) logical deduction. The aim of the present paper is twofold: on one side we provide two characterizations of those belief sets that are closed under classical logic deduction, and on the other we propose an approach to probabilistic update that allows us for a minimal revision of those beliefs, i.e., a revision obtained by making the fewest possible changes to the existing belief set while still accommodating the new information. In particular, we show how we can deductively close a belief set via a minimal revision.
Similar Papers
Dynamic Logic of Trust-Based Beliefs
Logic in Computer Science
Helps computers learn from new information shared publicly.
On Definite Iterated Belief Revision with Belief Algebras
Artificial Intelligence
Makes computers learn and change their minds predictably.
Toward a Graph-Theoretic Model of Belief: Confidence, Credibility, and Structural Coherence
Artificial Intelligence
Shows how beliefs connect and conflict.