Causal Learning, 1st Edition

Advances in Research and Theory

 
Causal Learning, 1st Edition,Douglas Medin,David Shanks,Keith Holyoak,ISBN9780125433341
 
 
Up to
25%
off
 

Medin   &   Shanks   &   Holyoak   

Academic Press

9780125433341

9780080863856

442

229 X 152

Print Book + eBook

USD 163.20
USD 272.00

Buy both together and save 40%

Print Book

Hardcover

In Stock

Estimated Delivery Time
USD 103.50
USD 138.00

eBook
eBook Overview

VST format:

DRM Free included formats: EPub, Mobi, PDF

USD 100.50
USD 134.00
Add to Cart
 
 

Key Features

@introbul:Key Features
@bul:* Up-to-date review of the literature
* Discusses recent controversies
* Presents major advances in understanding causal learning
* Synthesizes contrasting approaches
* Includes important empirical contributions
* Written by leading researchers in the field

Description

The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditions to complex learning and problem solving. This guest-edited special volume is devoted to current research and discussion on associative versus cognitive accounts of learning. Written by major investigators in the field, topics include all aspects of causal learning in an open forum in which different approaches are brought together.

Douglas Medin

Douglas L. Medin is the series editor of The Psychology of Learning and Motivation.

Affiliations and Expertise

Northwestern University, Evanston, IL, USA

View additional works by Douglas L. Medin

David Shanks

Affiliations and Expertise

University College London, U.K.

Keith Holyoak

Affiliations and Expertise

University of California

Causal Learning, 1st Edition

A.G. Baker, R.A. Murphy and F. Vallée-Tourangeau, Associative and Normative Models of Causal Induction: Reacting to Versus Understanding Cause.
M.R. Waldmann, Knowledge-Based Causal Induction.
D.A. Williams, A Comparative Analysis of Negative Contingency Learning in Humans and Nonhumans.
R.R. Miller and H. Matute, Animal Analogues of Causal Judgment.
B.A. Spellman, Conditionalizing Causality.
E.A. Wasserman, S-F Kao, L.J. Van Hamme, M. Katagiri and M.E. Young, Causation and Association.
D.R. Shanks, F.J. Lopez, R.J. Darby and A. Dickinson, Distinguishing Associative and Probabilistic Contrast Theories of Human Contingency Judgment.
P.W. Cheng, J. Park, A.S. Yarlas and K.J. Holyoak, A Causal-Power Theory of Focal Sets.
J.R. Busemeyer, M.A. McDaniel and E. Byun, The Use of Intervening Variables in Causal Learning.
J. Pearl, Structural and Probabilistic Causality.
Index.
Contents of Recent Volumes.

Quotes and reviews

@from:Praise for the Series
@qu:"A remarkable number of landmark papers...An important collection of theory and data."
@source:--Roberta L. Klatzky in CONTEMPORARY PSYCHOLOGY
 
 
Save up to 25% on all Books
Shop with Confidence

Free Shipping around the world
▪ Broad range of products
▪ 30 days return policy
FAQ

Contact Us