The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
A general and basic model for inference about characteristics of a finite population of distinguishable elements is presented from a subjectivistic-Bayesian point of view. A subjectivist analogue to ...
We estimate by Bayesian inference the mixed conditional heteroskedasticity model of Haas et al. (2004a Journal of Financial Econometrics 2, 211–50). We construct a Gibbs sampler algorithm to compute ...
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 ...
Scientists have quantified what draws mosquitoes to people—which could help make better, life-saving bug traps.
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