Abstract. Belief revision is the process that incorporates, in a consistent way, a new piece of information, called input, into a belief base. When both belief bases and inputs are propositional formulas, a set of natural and rational proper-ties, known as AGM postulates, have been proposed to define genuine revision operations. This paper addresses the following important issue: How to revise a partially pre-ordered information (representing initial beliefs) with a new par-tially pre-ordered information (representing inputs) while preserving AGM pos-tulates? We first provide a particular representation of partial pre-orders (called units) using the concept of closed sets of units. Then we restate AGM postulates in this framework by definin...
. The theory of belief revision developed by Gardenfors and his colleagues characterizes the classes...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...
Belief revision studies strategies about how agents revise their belief states when receiving new ev...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
The standard theory of belief revision|known as the AGM theory after its authors, C. Al-chourron, P....
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
© 2018 ACM. In artificial intelligence, a key question concerns how an agent may rationally revise i...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
AbstractThe area of belief revision studies how a rational agent may incorporate new information abo...
Belief revision aims at incorporating, in a rational way, a new piece of information into the belief...
The classic AGM theory studies mathematically idealized models of belief revision in two aspects: th...
The classic AGM theory studies mathematically idealized models of belief revision in two aspects: th...
AbstractMost of belief revision operations have been proposed for totally preordrered information. H...
. The theory of belief revision developed by Gardenfors and his colleagues characterizes the classes...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...
Belief revision studies strategies about how agents revise their belief states when receiving new ev...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
The standard theory of belief revision|known as the AGM theory after its authors, C. Al-chourron, P....
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
© 2018 ACM. In artificial intelligence, a key question concerns how an agent may rationally revise i...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
AbstractThe area of belief revision studies how a rational agent may incorporate new information abo...
Belief revision aims at incorporating, in a rational way, a new piece of information into the belief...
The classic AGM theory studies mathematically idealized models of belief revision in two aspects: th...
The classic AGM theory studies mathematically idealized models of belief revision in two aspects: th...
AbstractMost of belief revision operations have been proposed for totally preordrered information. H...
. The theory of belief revision developed by Gardenfors and his colleagues characterizes the classes...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...
This article proposes a solution to the problem of obtaining plausibility information, which is nece...