The probabilistic mind : prospects for Bayesian cognitive science / edited by Nick Chater and Mike Oaksford.

Other author Chater, Nick.
Other author Oaksford, M. (Mike)
Format Book
Publication InfoOxford ; New York : Oxford University Press, 2008.
Descriptionviii, 525 pages : illustrations ; 24 cm
Subjects

Contents Pt. 1. Foundations. The probabilistic mind: prospects for a Bayesian cognitive science / Nick Chater & Mike Oaksford -- A primer on probabilistic inference / Thomas L. Griffiths & Alan Yuille -- Rational analyses, instrumentalism, and implementations / David Danks -- pt. 2. Inference and argument. Framing effects and rationality / Shlomi Sher & Craig R.M. McKenzie -- Probability logic and the Modus Ponens- Modus Tollens asymmetry in conditional inference / Mike Oaksford & Nick Chater -- Inference from absence in language and thought / Ulrike Hahn & Mike Oaksford -- Towards a rational theory of human information acquisition / Jonathan Nelson -- Pseudocontingencies: a key paradigm for understanding adaptive cognition / Klaus Fiedler -- pt. 3. Judgement and decision-making. Bayesian brains and cognitive mechanisms: harmony or dissonance? / Henry Brighton & Gerd Gigerenzer -- The game of life: how small samples render choice simple / Ralph Hertwig & Timothy J. Pleskac -- The naïve intuitive statistician: organism-environment relations from yet another angle / Patrik Hansson, Peter Juslin, & Anders Winman -- A decision-by-sampling account of decision under risk / Neil Stewart & Keith Simpson -- The neurodynamics of choice, value-based decisions and preference reversal / Marius Usher, Anat Elhalal, & James L. McClelland -- pt. 4. Categorization and memory. Categorization as nonparametric Bayesian density estimation / Thomas L. Griffiths ... [et al.] -- Rational analysis as a link between human memory and information retrieval / Mark Steyvers & Thomas L. Griffiths -- 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 ... [et al.] -- pt. 5. Learning about contingency and causality. Through the lookingglass: a dynamic lens model approach to multiple cue probability learning / Maarten Speekenbrink & David R. Shanks -- Semi-rational models of conditioning: the case of trial order / Nathaniel D. Daw, Aaron C. Courville, & Peter Dayan -- Causal learning in rats and humans: a minimal rational model / Michael R. Waldmann ... [et al.] -- The value of rational analysis: an assessment of causal reasoning and learning / Steven Sloman & Philip M. Fernbach -- The probabilistic mind: where next? / Nick Chater & Mike Oaksford0
Bibliography noteIncludes bibliographical references and index.
ISBN9780199216093
ISBN0199216096

Availability

Library Location Call Number Status Item Actions
Joyner General Stacks BF311 .P7473 2008 ✔ Available Place Hold