Causal learning : psychology, philosophy, and computation / edited by Alison Gopnik, Laura Schulz.

Format:

Book

Contributor:

Gopnik, Alison.

Schulz, Laura Elizabeth.

Language:

English

Subjects (All):

Learning, Psychology of.

Causation.

Physical Description:

x, 358 pages : illustrations ; 26 cm

Place of Publication:

Oxford ; New York : Oxford University Press, 2007.

Summary:

Advance Praise for Causal Learning

Contents:

Introduction / Alison Gopnik and Laura Schulz

Part I: Causation and intervention

Interventionist theories of causation in psychological perspective / Jim Woodward

Infants' causal learning : intervention, observation, imitation / Andrew N. Meltzoff

Detecting causal structure : the role of intervention in infants' understanding of psychological and physical causal relations / Jessica A. Sommerville

An interventionist approach to causation in psychology / John Campbell

Learning from doing : intervention and causal inference / Laura Schulz, Tamar Kushnir, and Alison Gopnik

Causal reasoning through intervention / York Hagmayer ... [et al.]

On the importance of causal taxonomy / Christopher Hitchcock

Part II: Causation and probability

Introduction to part II : causation and probability / Alison Gopnik and Laura Schulz

Teaching the normative theory of causal reasoning / Richard Scheines, Matt Easterday, and David Danks

Interactions between causal and statistical learning / David M. Sobel and Natasha Z. Kirkham

Beyond covariation : cues to causal structure / David A. Lagnado ... [et al.]

Theory unification and graphical models in human categorization / David Danks

Essentialism as a generative theory of classification / Bob Rehder

Data-mining probabilists or experimental determinists? a dialogue on the principles underlying causal learning in children / Thomas Richardson, Laura Schultz, and Alison Gopnik

Learning the structure of deterministic systems / Clark Glymour

Part III: Causation, theories, and mechanisms

Introduction to part III : causation, theories, and mechanisms / Alison Gopnik and Laura Schulz

Why represent causal relations? / Michael Strevens

Causal reasoning as informed by the early development of explanations / Henry M. Wellman and David Liu

Dynamic interpretations of covariation data / Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann

Statistical jokes and social effects : intervention and invariance in causal relations / Clark Glymour

Intuitive theories as grammars for causal inference / Joshua B. Tenenbaum, Thomas L. Griffiths, and Sourabh Niyogi

Two proposals for causal grammars / Thomas L. Griffiths and Joshua B. Tenenbaum.

Notes:

Includes bibliographical references and index.

ISBN:

0195176804

9780195176803

OCLC:

70107027

Online:

Publisher description

Contributor biographical information