A Biased Bayesian Inference for Decision-Making and Cognitive Control

Bayesian Inference and Decision Theory – A Coherent Framework for Decision Making in Natural Resource Management

Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions...

Inference and Decision Making with Fuzzy Cognitive Structures

In this paper, the author elaborates on the feasibility of a framework that uses fuzzy chain-of-thought structures. The emphasis is on how inference and decision making can be achieved using these cognitive structures. Applications in cognitive diagnosis, such as intelligent tutoring systems and cognitive modeling, are also discussed.

Dynamic Bayesian Decision - Making :

Bayesian Decision Making Theory

A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making

Many Bayesian networks (BNs) have been developed as decision support tools. However, far fewer have been used in practice. Sometimes it is assumed that an accurate prediction is enough for useful decision support but this neglects the importance of trust: a user who does not trust a tool will not accept its advice. Giving users an explanation of the way a BN reasons may make its predictions eas...