In this contribution we explore choice revision, a sort of belief change in which the new information is represented by a set of sentences and the agent could accept some of the sentences while rejecting the others. We propose a generalized version of expansion operation called partial expansion for developing models of choice revision. By using the partial expansion and two multiple contraction operations previously introduced in the literature, we construct two kinds of choice revision on belief bases. For each of them we propose a set of postulates and prove a partial or full representation theorem. Furthermore, we investigate the operations of making up one's mind derived from these two kinds of choice revision and also give the associa...
Abstract. We propose a novel approach to preference change. We treat a set of preferences as a speci...
AbstractThis paper presents a general, consistency-based framework for expressing belief change. The...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
In this contribution we explore choice revision, a sort of belief change in which the new informatio...
This thesis investigates a sort of non-prioritized multiple revision, the operation of making up one...
Choice revision is a sort of non-prioritized multiple revision, in which the agent partially accepts...
Abstract. Necessary and sufficient conditions for choice functions to be rational have been intensiv...
In this paper we study the dynamics of belief from an agent-oriented, semantics-based point of view...
In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence, 2009] a corre...
Agents which perform inferences on the basis of unreliable information need an ability to revise the...
Discussions of the issue of iterated belief revision are commonly accompanied by the presentation of...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
AbstractMany belief change formalisms employ plausibility orderings over the set of possible worlds ...
This paper presents and discusses a novel approach to indeterministic belief revision. An indetermin...
In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence, 2009] a corre...
Abstract. We propose a novel approach to preference change. We treat a set of preferences as a speci...
AbstractThis paper presents a general, consistency-based framework for expressing belief change. The...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
In this contribution we explore choice revision, a sort of belief change in which the new informatio...
This thesis investigates a sort of non-prioritized multiple revision, the operation of making up one...
Choice revision is a sort of non-prioritized multiple revision, in which the agent partially accepts...
Abstract. Necessary and sufficient conditions for choice functions to be rational have been intensiv...
In this paper we study the dynamics of belief from an agent-oriented, semantics-based point of view...
In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence, 2009] a corre...
Agents which perform inferences on the basis of unreliable information need an ability to revise the...
Discussions of the issue of iterated belief revision are commonly accompanied by the presentation of...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
AbstractMany belief change formalisms employ plausibility orderings over the set of possible worlds ...
This paper presents and discusses a novel approach to indeterministic belief revision. An indetermin...
In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence, 2009] a corre...
Abstract. We propose a novel approach to preference change. We treat a set of preferences as a speci...
AbstractThis paper presents a general, consistency-based framework for expressing belief change. The...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...