The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology

Glymour, Clark

ISBN 10: 0262072203 / ISBN 13: 9780262072205

Published by A Bradford Book, 2001

About this Item

Rubber stamp on bottom edge. A very clean and straight copy. Clean text and a sturdy binding. Dust jacket is nice with only slight wear and some sun into the spine. 222 pp.

Seller Inventory # 230629018

Bibliographic Details

• Title: The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology
• Publisher: A Bradford Book
• Publication Date: 2001
• Language: English
• ISBN 10: 0262072203
• ISBN 13: 9780262072205
• Binding: Hardcover
• Condition: Clean & Unmarked
• Dust Jacket Condition: Very Good
• Weight: 18 ounces
• Seller catalogs:
  • Psychology

About this title

Synopsis

The use of Bayes nets and graphical causal models in the investigation of human learning of causal relations, and in modeling and inference in cognitive psychology.

In recent years, small groups of statisticians, computer scientists, and philosophers have developed an account of how partial causal knowledge can be used to compute the effect of actions and how causal relations can be learned, at least by computers. The representations used in the emerging theory are causal Bayes nets or graphical causal models.

In his new book, Clark Glymour provides an informal introduction to the basic assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological examples. He demonstrates their potential as a powerful tool for guiding experimental inquiry and for interpreting results in developmental psychology, cognitive neuropsychology, psychometrics, social psychology, and studies of adult judgment. Using Bayes net techniques, Glymour suggests novel experiments to distinguish among theories of human causal learning and reanalyzes various experimental results that have been interpreted or misinterpretedwithout the benefit of Bayes nets and graphical causal models. The capstone illustration is an analysis of the methods used in Herrnstein and Murray's book The Bell Curve; Glymour argues that new, more reliable methods of data analysis, based on Bayes nets representations, would lead to very different conclusions from those advocated by Herrnstein and Murray.

About the Author

Clark Glymour is Alumni University Professor in the Department of Philosophy at Carnegie Mellon University and Senior Research Scientist at Florida Institute for Human and Machine Cognition. He is the author of The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology (MIT Press), Galileo in Pittsburgh, and other books.