Abstract Inspired by recent Bayesian interpretations about the psychology underlying religion, paper introduces a theory proposing that religious conversion is shaped three factors: (i) novel relevant information, experienced in perceptual or social form (e.g., following interaction with missionaries); (ii) changes utility expressed an opportunity to raise rank) associated accepting new creed; ...

Individuals use heuristics to make decisions or solve problems when faced with complex situations, and currently known can only explain limited human decision-making behaviors. Anchoring strategy is a proposed by Kahneman Tversky. It used decision-makers the target beyond decision-maker's judgment distance. be reflection effect loss aversion effect. On basis of this hypothesis, study attempts f...

Low-dimensional probability models for local distribution functions in a Bayesian network include decision trees, decision graphs, and causal independence models. We describe a new probability model for discrete Bayesian networks, which we call an embedded Bayesian network classi er or EBNC. The model for a node Y given parents X is obtained from a (usually di erent) Bayesian network for Y and ...

Statistical decision theory (SDT) and Bayesian decision theory (BDT) are closely related mathematical frameworks used to model ideal performance in a wide range of visual and motor tasks. Their elements (gain function, likelihood, prior) are readily interpretable in terms of information available to the observer. We briefly describe SDT and BDT and then review recent work employing them as mode...

Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian fusion can get circumvented. This publication addresses globally optimal decision making on the basis of a focussed Bayesian model. Therefore, common decision criteria under linear partial information and in particular principles of lazy decision making are applied. We also present an interval sc...

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for...