A well known strategy for belief revision is the use of an operator which takes as input a belief base and formula and outputs a new consistent revised belief base. Many operators require additional information such as epistemic entrenchment relations, system of spheres, faithful orderings, subformulae relation, etc. However, in many applications this extra information does not exist and all be...

The dynamics of belief and knowledge is one of the major components of any autonomous system that should be able to incorporate new pieces of information. In this paper, we argue that to apply rationality result of belief dynamics theory to various practical problems, it should be generalized in two respects: first of all, it should allow a certain part of belief to be declared as immutable; an...

A well known strategy for belief revision is the use of an operator which takes as input a belief base and formula and outputs a new consistent revised belief base. Many operators require additional information such as epistemic entrenchment relations, system of spheres, faithful orderings, subformulae relation, etc. However, in many applications this extra information does not exist and all be...

We present a general framework for representing belief-revision rules and use it to characterize Bayesís rule as a classical example and Je§reyís rule as a non-classical one. In Je§reyís rule, the input to a belief revision is not simply the information that some event has occurred, as in Bayesís rule, but a new assignment of probabilities to some events. Despite their di§erences, Bayesís and J...

Accurate and rapid identification of the severe non-severe COVID-19 patients is necessary for reducing risk overloading hospitals, effective hospital resource utilization, minimizing mortality rate in pandemic. A conjunctive belief rule-based clinical decision support system proposed this paper to identify critical non-critical hospitals using only three blood test markers. The experts’ knowled...

In this study, we describe the influences of qualitative changes to the reasoning problem on the reasoning process. The first manipulation is the quality of the test context: A rule is learned in a certain context and contradicted in another. The belief in the rule is then measured in the learning context, the contradictory context, and a new context. The second manipulation is the quality of c...

We propose a method for an agent to revise its incomplete probabilistic beliefs when a new piece of propositional information is observed. In this work, an agent’s beliefs are represented by a set of probabilistic formulae – a belief base. The method involves determining a representative set of ‘boundary’ probability distributions consistent with the current belief base, revising each of these ...

Abstract In Evidence theory, several conditioning rules for updating belief have been proposed, including Dempster’s rule of conditioning. The paper views the conditioning rules proposed so far and proposes a new rule of conditioning based on three requirements. Then, it generalizes the rule to be applied to the case where condition is given by an uncertain belief. The paper also discusses a fe...

When merging belief functions, Dempster rule of combination is justified only when sources can be considered as independent. When dependencies are ill-known, it is usual to ask the merging operation to satisfy the property of idempotence, as this property ensures a cautious behaviour in the face of dependent sources. There are different strategies to find such rules for belief functions. One st...