The Oxford handbook of causal reasoning / edited by Michael R. Waldmann.

Format
Book
Language
English
Published/​Created
New York : Oxford University Press, 2017.
Description
1 online resource.

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Summary note
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on online resource; title from home page (viewed on May 4, 2017).
Contents
  • General Introduction / Michael R. Waldmann
  • The acquisition and use of causal stucture learning / Ben Rottman
  • Causal Mechanisms / Woo-kyoung Ahn, Sam Johnson
  • Force dynamics and causation / Phil Wolff
  • Pseudocontingencies / Klaus Fiedler, Florian Kutzner
  • Singular causation / David Danks
  • Cognitive neuroscience of causal reasoning / Aron K. Barbey, Joachim T. Operskalski
  • Visual impressions of causality / Peter White
  • Goal-directed actions / Bernhard Hommel
  • Planning and control / Magda Osman
  • Associative Accounts of Causal Cognition / Mike Le Pelley, Tom Beesley, Oren Griffiths
  • Reinforcement learning and causal models / Samuel J. Gershman
  • Categories as Causal Models: Inductions / Bob Rehder
  • Causal Explanation / Tania Lombrozo, Nadya Vasilyeva
  • Diagnostic reasoning / Bjèorn Meder, Ralf Mayrhofer
  • Inferring causal relations by analogy / Keith J. Holyoak, Heeseung Lee
  • Causal Argument / Ulrike Hahn, Roland Bluhm, Frank Zenker
  • Causal decision making / York Hagmayer, Philip Fernbach
  • Intuitive theories / Joshua B. Tenenbaum, Tobias Gerstenberg
  • Space, time, and causality / Marc J. Buehner
  • Causation and the probability of causal conditionals / David Over
  • Causation in legal and moral reasoning / David Lagnado, Tobias Gerstenberg
  • Role of causal knowledge in reasoning about mental disorders / Woo-kyoung Ahn, Nancy Kim, Matthew S. Lebowitz
  • Causation and causal reasoning in natural language / Oliver Bott, Torgrim Solstad
  • Social attribution and explanation / Denis Hilton
  • Causal cognition and culture / Andrea Bender, Sieghard Beller, Douglas L. Medin
  • Causal reasoning in nonhuman animals / Julia Fischer, Christian Schloegl
  • Formalizing prior knowledge in causal induction / Thomas L. Griffiths
  • Categories as Causal Models: Categorization / Bob Rehder
  • Mental models and causation / Phil N. Johnson-Laird, Sunny Khemlani
  • The development of causal reasoning / Elizabeth Bonawitz, Paul Muentener
  • Causal models and conditional reasoning / Mike Oaksford, Nick Chater
  • Rules of causal judgment: mapping statistical information onto causal beliefs / Josâe Perales, Andrâes Catena, Antonio Câandido, Antonio Maldonado
  • The inferential reasoning theory of causal learning: Towards a multi-process propositional account / Tom Beckers, Jan De Houwer, Yannick Boddez
  • Causal invariance as an essential constraint for creating a causal representation of the world: Generalizing the invariance of causal power / Patricia W. Cheng, Hongjing Lu.
Other title(s)
  • Handbook of causal reasoning
  • Causal reasoning
ISBN
  • 9780199399574
  • 0199399573
  • 9780199399567
  • 0199399565
  • 9780190662745
  • 0190662743
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