skip to content
Causal learning : psychology, philosophy, and computation Preview this item
ClosePreview this item
Checking...

Causal learning : psychology, philosophy, and computation

Author: Alison Gopnik; Laura Elizabeth Schulz
Publisher: Oxford ; New York : Oxford University Press, 2007.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:

Causal Learning provides a compendium of research determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in  Read more...

Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Alison Gopnik; Laura Elizabeth Schulz
ISBN: 0195176804 9780195176803
OCLC Number: 70107027
Description: x, 358 p. : ill. ; 26 cm.
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.
Responsibility: edited by Alison Gopnik, Laura Schulz.
More information:

Reviews

Editorial reviews

Publisher Synopsis

...well worth the effort of reading...a well-developed overview of the current state of research in the field of causal learning. PsycCritiques

 
User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/70107027>
library:oclcnum"70107027"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/70107027>
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
<http://id.worldcat.org/fast/995009>
rdf:typeschema:Intangible
schema:name"Learning, Psychology of"@en
schema:name"Learning, Psychology of."@en
schema:about
schema:contributor
schema:contributor
schema:datePublished"2007"
schema:description"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."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/1059975124>
schema:inLanguage"en"
schema:name"Causal learning : psychology, philosophy, and computation"@en
schema:numberOfPages"358"
schema:publisher
schema:url
schema:workExample
umbel:isLike<http://bnb.data.bl.uk/id/resource/GBA707964>

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.