The probabilistic mind
Subtitle: prospects for Bayesian cognitive science
By: edited by Nick Chater and Mike Oaksford.
Contributors: Chater, Nick.; Oaksford, M.
Publisher: Oxford University Press
Published: 2008
Place of publication: Oxford; New York
Language: eng
Number of pages: 525
ISBN-13: 9780199216093
Subjects: Cognitive science.; Cognition.; Cognitive psychology.
Notes: Includes bibliographical references and index.
Table of contents: value: Pt. 1. Foundations. The probabilistic mind : prospects for a Bayesian cognitive science / Nick Chater & Mike Oaksford; value: A primer on probabilistic inference / Thomas L. Griffiths & Alan Yuille; value: Rational analyses, instrumentalism, and implementations / David Danks; value: pt. 2. Inference and argument. Framing effects and rationality / Shlomi Sher & Craig R.M. McKenzie; value: Probability logic and the Modus Ponens- Modus Tollens asymmetry in conditional inference / Mike Oaksford & Nick Chater; value: Inference from absence in language and thought / Ulrike Hahn & Mike Oaksford; value: Towards a rational theory of human information acquisition / Jonathan Nelson; value: Pseudocontingencies : a key paradigm for understanding adaptive cognition / Klaus Fiedler; value: pt. 3. Judgement and decision-making. Bayesian brains and cognitive mechanisms : harmony or dissonance? / Henry Brighton & Gerd Gigerenzer; value: The game of life : how small samples render choice simple / Ralph Hertwig & Timothy J. Pleskac; value: The naïve intuitive statistician : organism-environment relations from yet another angle / Patrik Hansson, Peter Juslin & Anders Winman; value: A decision-by-sampling account of decision under risk / Neil Stewart & Keith Simpson; value: The neurodynamics of choice, value-based decisions and preference reversal / Marius Usher, Anat Elhalal & James L. McClelland; value: pt. 4. Categorization and memory. Categorization as nonparametric Bayesian density estimation / Thomas L. Griffiths ... [et al.]; value: Rational analysis as a link between human memory and information retrieval / Mark Steyvers & Thomas L. Griffiths; value: Causality in time : explaining away the future and the past / David E. Huber; value: Compositionality in rational analysis : grammar-based induction for concept learning / Noah D. Goodman ... [et al.]; value: 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; value: Semi-rational models of conditioning: the case of trial order / Nathaniel D. Daw, Aaron C. Courville & Peter Dayan; value: Causal learning in rats and humans : a minimal rational model / Michael R. Waldmann ... [et al.]; value: The value of rational analysis : an assessment of causal reasoning and learning / Steven Sloman & Philip M. Fernbach; value: The probabilistic mind : where next? / Nick Chater & Mike Oaksford.