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The mind's arrows : Bayes nets and graphical causal models in 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Glymour, Clark N.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2001.
©2001
Colección:Bradford Bks.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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 misinterpreted - without 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.
Notas:"A Bradford book."
Descripción Física:1 online resource (xv, 222 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 205-217) and index.
ISBN:9780262273961
0262273969
9780262318730
0262318733
9780262072205
0262072203
058547544X
9780585475448