Belief Integration and Source Reliability Assessment

Belief Merging by Source Reliability Assessment

Merging beliefs requires the plausibility of the sources of the information to be merged. They are typically assumed equally reliable in lack of hints indicating otherwise [12]; yet, a recent line of research spun from the idea of deriving this information from the revision process itself. In particular, the history of previous revisions [3, 15] and previous merging examples [16] provide inform...

Source-Sensitive Belief Change

The AGM model is the most remarkable framework for modeling belief revision. However, it is not perfect in all aspects. Paraconsistent belief revision, multi-agent belief revision and non-prioritized belief revision are three different extensions to AGM to address three important criticisms applied to it. In this article, we propose a framework based on AGM that takes a position in each of thes...

Reliability for Degrees of Belief

The concept of reliability is important in epistemology. Most obviously, it is important to reliabilists who build accounts of justification or knowledge that make central appeal to the notion of reliable belief production.1 But even if one does not take the reliabilist line, reliability is still an important concept for epistemological theorizing. In epistemology, most discussion of reliabilit...

Bayesian Belief Networks in Reliability

Iterated belief revision, reliability, and inductive amnesia

Belief revision theory concerns methods for reformulating an agent’s epistemic state when the agent’s beliefs are refuted by new information. The usual guiding principle in the design of such methods is to preserve as much of the agent’s epistemic state as possible when the state is revised. Learning theoretic research focuses, instead, on a learning method’s reliability or ability to converge ...