Search results for "Belief revision"
showing 4 items of 4 documents
Mania risk is characterized by an aberrant optimistic update bias for positive life events
2017
Abstract Background Early cognitive models of mania posit that a cognitive triad consisting of unrealistically optimistic beliefs about the self, world and future may predispose vulnerable individuals to develop manic symptoms. Hypomanic personality traits (HYP) pose such a vulnerability factor in the etiopathogenesis of mania. Methods To test the cognitive tenet of overly optimistic views of the future, 24 individuals with high-HYP and 24 age- and sex-matched controls (low-HYP) performed a belief update paradigm, during which they estimated their personal chances to experience future positive and negative life events. Afterwards, they were presented with the statistical likelihood of each …
An Algebraic Approach to Knowledge Representation
1999
This paper is an attempt to apply domain-theoretic ideas to a new area, viz. knowledge representation. We present an algebraic model of a belief system. The model consists of an information domain of special kind (belief algebra) and a binary relation on it (entailment). It is shown by examples that several natural belief algebras are, essentially, algebras of flat records. With an eye on this, we characterise those domains and belief algebras that are isomorphic to domains or algebras of records. For illustration, we suggest a system of axioms for revision in such a model and describe an explicit construction of what could be called a maxichoise revision.
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning
2021
This article provides an overview of the recently proposed forward model approximation framework for learning games of the general video game artificial intelligence (GVGAI) framework. In contrast to other general game-playing algorithms, the proposed agent model does not need a full description of the game but can learn the game's rules by observing game state transitions. Based on hierarchical knowledge bases, the forward model can be learned and revised during game-play, improving the accuracy of the agent's state predictions over time. This allows the application of simulation-based search algorithms and belief revision techniques to previously unknown settings. We show that the propose…
The Stability Theory of Knowledge and Belief Revision: Comments on Rott
2005
In this commentary on Rott’s paper “Stability, Strength and Sensitivity: Converting Belief into Knowledge”, I discuss two problems of the stability theory of knowledge which are pointed out by Rott. I conclude that these problems offer no reason for rejecting the stability theory, but might be grounds for deviating from the standard AGM account of belief revision which Rott presupposes.