The Probabilistic Mind: Prospects for Bayesian Cognitive ScienceThe rational analysis method, first proposed by John R. Anderson, has been enormously influential in helping us understand high-level cognitive processes. The Probabilistic Mind is a follow-up to the influential and highly cited 'Rational Models of Cognition' (OUP, 1998). It brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian The Probabilistic Mind will be valuable for psychologists and philosophers interested in cognition. |
From inside the book
Results 1-3 of 64
In the discussion below , Fl refers to the question , whose answer is unknown , about whether or not feature 1 is present , and f1 and -fl are the specific answers that feature 1 is present or not . eu ( FI ) is the expected utility ...
Both features present case . The vast majority of the time , exactly one feature is present , such that the learner becomes almost certain of the true category once the presence or absence of each feature is known ( Table 7.3 ) .
For example , the probability of rainy weather is 0.2 over all the trials on which card 1 is present , 0.4 for trials on which card 2 is present , 0.6 for trials on which card 3 is present , and 0.8 for trials on which card 4 is present ...
What people are saying - Write a review
Contents
prospects for a Bayesian cognitive science | 3 |
A primer on probabilistic inference | 33 |
Rational analyses instrumentalism and implementations | 59 |
Copyright | |
20 other sections not shown
Other editions - View all
The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford Limited preview - 2008 |
The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |