The Probabilistic Mind: Prospects for Bayesian Cognitive Science

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Oxford University Press (2008)
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Abstract

'The Probabilistic Mind' is a follow-up to the influential and highly cited 'Rational Models of Cognition'. 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 methods.

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9780199216093   0199216096

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Chapters

A decision-by-sampling account of decision under risk.Neil Stewart & Simpson & Keith
Categorization as nonparametric Bayesian density estimation.Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini & Daniel J. Navarro
Categorization as nonparametric Bayesian density estimation.Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini & Navarro & J. Daniel
Causal learning in rats and humans: A minimal rational model.Michael R. Waldmann, Patricia W. Cheng, York Hagmayer & Aaron P. Blaisdell
Causal learning in rats and humans: a minimal rational model.Michael R. Waldmann, Patricia W. Cheng, York Hagmeyer & Blaisdell & P. Aaron
Causality in time: explaining away the future and the past.David E. Huber
Compositionality in rational analysis: Grammar-based induction for concept learning.Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths & Jacob Feldman
Compositionality in rational analysis: grammar-based induction for concept learning.Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths & Feldman & Jacob
Conclusion: where next?Nick Chater & Oaksford & Mike
Framing effects and rationality.Shlomi Sher & McKenzie & R. M. Craig
Framing effects and rationality.Shlomi Sher & Craig Rm Mckenzie
Inference from absence in language and thought.Ulrike Hahn & Oaksford & Mike
Probabilistic minds, Bayesian brains, and cognitive mechanisms: harmony or dissonance.Henry Brighton & Gigerenzer & Gerd
Probability logic and the 'Modus Ponens - Modus Tollens' asymmetry.Mike Oaksford & Chater & Nick
Rational analysis as a link between human memory and information retrieval.Mark Steyvers & Griffiths & L. Thomas
Semi-rational models of conditioning: the case of trial order.Nathaniel D. Daw, Aaron C. Courville & Dayan & Peter
Technical introduction: a primer on probabilistic inference.Thomas L. Griffiths & Yuille & Alan
The game of life: how small samples render choice simple.Ralph Hertwig & Pleskac & J. Timothy
The naive intuitive statistician: organism-environment relations from yet another angle.Patrik Hansson, Peter Juslin & Winman & Anders
The neurodynamics of choice, value-based decisions and preference reversal.Marius Usher, Anat Elhalal & McClelland & L. James
The probabilistic mind: prospects for a Bayesian cognitive science.Nick Chater & Oaksford & Mike
The value of rational analysis: an assessment of causal reasoning and learning.Steven Sloman & Fernbach & M. Philip
Through the looking-glass: a dynamic lens model approach to learning in MCPL tasks.Maarten Speekenbrink & Shanks & R. David
Towards a rational theory of human information acquisition.Jonathan Nelson
A primer on probabilistic inference.  (pages 33--57)Thomas L. Griffiths & Alan Yuille
Rational analyses, instrumentalism, and implementations.  (pages 59--75)David Danks
Probability logic and the Modus Ponens-Modus Tollens asymmetry in conditional inference.  (pages 97--120)Mike Oaksford & Nick Chater
Pseudocontingencies: A key paradigm for understanding adaptive cognition.  (pages 165--186)Klaus Fiedler
The naïve intuitive statistician: organism—environment relations from yet another angle.  (pages 237)Patrik Hansson, Peter Juslin & Anders Winman
A decision-by-sampling account of decision under risk.  (pages 261--276)Neil Stewart & Keith Simpson
The neurodynamics of choice, value-based decisions, and preference reversal.  (pages 277--300)Marius Usher, Anat Elhalal & James L. McClelland
Rational analysis as a link between human memory and information retrieval.  (pages 329--349)Mark Steyvers & Thomas L. Griffiths
The value of rational analysis: An assessment of causal reasoning and learning.  (pages 486--500)S. A. Sloman & Philip M. Fernbach

Similar books and articles

Nick Chater and Mike Oaksford, eds. The Probabilistic Mind: Prospects for Bayesian Cognitive Science Reviewed by.Anton Petrenko - 2010 - Philosophy in Review 30 (1):16-19.
The probabilistic mind: prospects for a Bayesian cognitive science.Nick Chater & Oaksford & Mike - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
Rational analyses, instrumentalism, and implementations.David Danks - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 59--75.
Semi-rational models of conditioning: the case of trial order.Nathaniel D. Daw, Aaron C. Courville & Dayan & Peter - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
Towards a rational theory of human information acquisition.Jonathan Nelson - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
A primer on probabilistic inference.Thomas L. Griffiths & Alan Yuille - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 33--57.
The value of rational analysis: an assessment of causal reasoning and learning.Steven Sloman & Fernbach & M. Philip - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
The value of rational analysis: An assessment of causal reasoning and learning.S. A. Sloman & Philip M. Fernbach - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 486--500.
Causal learning in rats and humans: A minimal rational model.Michael R. Waldmann, Patricia W. Cheng, York Hagmayer & Aaron P. Blaisdell - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
Causal learning in rats and humans: a minimal rational model.Michael R. Waldmann, Patricia W. Cheng, York Hagmeyer & Blaisdell & P. Aaron - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.

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Citations of this work

On the Supposed Evidence for Libertarian Paternalism.Gerd Gigerenzer - 2015 - Review of Philosophy and Psychology 6 (3):361-383.
Précis of the origin of concepts.Susan Carey - 2011 - Behavioral and Brain Sciences 34 (3):113-124.
Generalized Update Semantics.Simon Goldstein - 2019 - Mind 128 (511):795-835.

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