Abstract—Combination rules proposed so far in the Dempster-Shafer theory of evidence, especially Dempster rule, rely on a basic assumption, that is, pieces of evidence being combined are considered to be on a par, i.e. play the same role. When a source of evidence is less reliable than another, it is possible to discount it and then a symmetric combination operation is still used. In the case of revision, the idea is to let prior knowledge of an agent be altered by some input information. The change problem is thus intrinsically asymmetric. Assuming the input information is reliable, it should be retained whilst the prior information should be changed minimally to that effect. Although belief revision is already an important subfield of art...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
Combination rules proposed so far in the Dempster-Shafer theory of evidence, especially Dempster rul...
DP&al065International audienceCombination rules proposed so far in the Dempster- Shafer theory of ev...
Belief revision characterizes the process of revising an agent’s beliefs when receiving new evidence...
Belief revision characterizes the process of revising an agent's beliefs when receiving new evidence...
Guest Editor: Éric GrégoireInternational audienceBelief revision characterizes the process of revisi...
AbstractThe AGM postulates for belief revision, augmented by the DP postulates for iterated belief r...
Belief revision studies strategies about how agents revise their belief states when receiving new ev...
AbstractThe area of belief revision studies how a rational agent may incorporate new information abo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form o...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...
Combination rules proposed so far in the Dempster-Shafer theory of evidence, especially Dempster rul...
DP&al065International audienceCombination rules proposed so far in the Dempster- Shafer theory of ev...
Belief revision characterizes the process of revising an agent’s beliefs when receiving new evidence...
Belief revision characterizes the process of revising an agent's beliefs when receiving new evidence...
Guest Editor: Éric GrégoireInternational audienceBelief revision characterizes the process of revisi...
AbstractThe AGM postulates for belief revision, augmented by the DP postulates for iterated belief r...
Belief revision studies strategies about how agents revise their belief states when receiving new ev...
AbstractThe area of belief revision studies how a rational agent may incorporate new information abo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form o...
AbstractSince the early 1980s, logical theories of belief revision have offered formal methods for t...
It is generally recognized that the possibility of detecting contradictions and identifying their so...
Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how t...