The Probabilistic Mind: Prospects for Bayesian Cognitive by Nick Chater, Mike Oaksford

By Nick Chater, Mike Oaksford

The rational research procedure, first proposed via John R. Anderson, has been greatly influential in supporting us comprehend high-level cognitive processes.

The Probabilistic Mind is a follow-up to the influential and hugely brought up 'Rational versions of Cognition' (OUP, 1998). It brings jointly advancements in knowing how, and the way a long way, high-level cognitive techniques should be understood in rational phrases, and especially utilizing probabilistic Bayesian tools. It synthesizes and evaluates the growth long ago decade, bearing in mind advancements in Bayesian information, statistical research of the cognitive 'environment' and a number of theoretical and experimental strains of study. The scope of the e-book is vast, overlaying vital fresh paintings in reasoning, determination making, categorization, and reminiscence. together with chapters from a few of the major figures during this box,

The Probabilistic Mind can be important for psychologists and philosophers attracted to cognition.

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Extra resources for The Probabilistic Mind: Prospects for Bayesian Cognitive Science

Example text

Bayes' rule gets its strength, and its notoriety, by making some assumptions about the variables we are considering and the meaning of probability. To answer this question, we need a procedure for computing the posterior probability, P(h|d). The probability of the data given the hypothesis, P(d|h), is known as the likelihood. The sum in the denominator simply ensures that the resulting probabilities are normalized to sum to one. In the remainder of this section, we will focus on some of the practical applications of Bayes' rule.

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