For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Background Conventionally, frequentist approach has been used to model health state valuation data. Recently, researchers started to explore the use of Bayesian methods in this area. Objectives This ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

Current models of motivation and cognitive control have relied to a large extent on the Reinforcement Learning framework. While this approach has enjoyed considerable success, other frameworks may ...

The Max Planck Institute for Biological Cybernetics is a partner in the Integrated Research Project BACS (Bayesian Approach to Cognitive Systems), which is being sponsored by the EU and will run until ...