David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 32 (1):89-90 (2009)
Bayesian Rationality (Oaksford & Chater 2007) illustrates the strengths of Bayesian models of cognition: the systematicity of rational explanations, transparent assumptions about human learners, and combining structured symbolic representation with statistics. However, the book also highlights some of the challenges this approach faces: of providing psychological mechanisms, explaining the origins of the knowledge that guides human learning, and accounting for how people make genuinely new discoveries
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Mike Oaksford & Nick Chater (2007). Bayesian Rationality: The Probabilistic Approach to Human Reasoning. OUP Oxford.
Hans Reichenbach (1938). Experience and Prediction. University of Chicago Press.
Citations of this work BETA
No citations found.
Similar books and articles
Nick Chater & Mike Oaksford (eds.) (2008). The Probabilistic Mind: Prospects for Bayesian Cognitive Science. OUP Oxford.
Johan Kwisthout, Todd Wareham & Iris van Rooij (2011). Bayesian Intractability Is Not an Ailment That Approximation Can Cure. Cognitive Science 35 (5):779-784.
Chris Eliasmith, Structure Without Symbols: Providing a Distributed Account of High-Level Cognition.
Amy Perfors (2012). Bayesian Models of Cognition: What's Built in After All? Philosophy Compass 7 (2):127-138.
Frederick Eberhardt & David Danks (2011). Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models. [REVIEW] Minds and Machines 21 (3):389-410.
Dedre Gentner (2001). Exhuming Similarity. Behavioral and Brain Sciences 24 (4):669-669.
M. Colombo & P. Series (2012). Bayes in the Brain--On Bayesian Modelling in Neuroscience. British Journal for the Philosophy of Science 63 (3):697-723.
Added to index2009-02-13
Total downloads3 ( #308,184 of 1,102,043 )
Recent downloads (6 months)1 ( #306,606 of 1,102,043 )
How can I increase my downloads?