The Probabilistic Mind: Prospects for Bayesian cognitive science
Nick Chater & Mike Oaksford (eds.)
OUP Oxford (2008)
| Abstract | The 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 methods. It synthesizes and evaluates the progress in the past decade, taking into account developments in Bayesian statistics, statistical analysis of the cognitive 'environment' and a variety of theoretical and experimental lines of research. The scope of the book is broad, covering important recent work in reasoning, decision making, categorization, and memory. Including chapters from many of the leading figures in this field, 'The Probabilistic Mind' will be valuable for psychologists and philosophers interested in cognition. | |||||||||
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| ISBN(s) | 9780199216093 0199216096 | |||||||||
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Giuseppe Boccignone & Roberto Cordeschi, Bayesian Models and Simulations in Cognitive Science. Models and Simulations 2.
Mike Oaksford & Nick Chater (2007). Bayesian Rationality: The Probabilistic Approach to Human Reasoning. OUP Oxford.
Mark Collier (2005). A New Look at Hume's Theory of Probabilistic Inference. Hume Studies 31 (1):21-36.
Mike Oaksford & Nick Chater (2012). Dual Processes, Probabilities, and Cognitive Architecture. Mind and Society 11 (1):15-26.
Frederick Eberhardt & David Danks (2011). Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models. Minds and Machines 21 (3):389-410.
Javier R. Movellan & Jonathan D. Nelson (2001). Probabilistic Functionalism: A Unifying Paradigm for the Cognitive Sciences. Behavioral and Brain Sciences 24 (4):690-692.
Mike Oaksford & Nick Chater (2009). Précis of Bayesian Rationality: The Probabilistic Approach to Human Reasoning. Behavioral and Brain Sciences 32 (1):69-84.
Shira Elqayam & David Over (2012). Probabilities, Beliefs, and Dual Processing: The Paradigm Shift in the Psychology of Reasoning. Mind and Society 11 (1):27-40.
Francesca Chiesi, Caterina Primi & Kinga Morsanyi (2011). Developmental Changes in Probabilistic Reasoning: The Role of Cognitive Capacity, Instructions, Thinking Styles, and Relevant Knowledge. Thinking and Reasoning 17 (3):315 - 350.
Andrés Rivadulla (1994). Probabilistic Support, Probabilistic Induction and Bayesian Confirmation Theory. British Journal for the Philosophy of Science 45 (2):477-483.
Charles R. Twardy & Kevin B. Korb (2004). A Criterion of Probabilistic Causation. Philosophy of Science 71 (3):241-262.
Marco Mirolli & Domenico Parisi (2009). Language as a Cognitive Tool. Minds and Machines 19 (4):517-528.
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