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. |
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The performance and analysis of take the best . Take The Best often outperforms linear regression models and other simple heuristics over a wide range of environmental contexts ( Czerlinski et al . , 1999 ) . Using a more reliable model ...
As seen in Fig . 16.2 , which was reported by Huber ( in press ) , brief prime durations resulted in a preference ' for whichever word was primed . This helped performance in the target - primed condition but harmed performance in the ...
We then compared the expected performance of the rational agents between the different models . For each set of trials , expected performance is computed as ( r , P ( Y = 1 | x , ) + ( 1 – 1 , ) 11 – P ( Y = 1 | x ) ] .
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Contents
prospects for a Bayesian cognitive science | 3 |
A primer on probabilistic inference | 33 |
Rational analyses instrumentalism and implementations | 59 |
Copyright | |
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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 |