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  • 1
    Online Resource
    Online Resource
    Cambridge, Mass : MIT Press
    UID:
    gbv_086638823
    Format: 1 online resource (xv, 222 p.) , ill
    ISBN: 9780262273961 , 0262273969
    Series Statement: EBSCOhost eBook Collection
    Content: 1 Introduction -- 2 Android epistemology for babies -- 3 Another way for nerds to make babies : the frame problem and causal inference in developmental psychology -- 4 A puzzling experiment -- 5 The puzzle resolved -- 6 Marilyn vos Savant meets Rescorla and Wagner -- 7 Cheng models -- 8 Learning procedures -- 9 Representation and rationality : the case of backward blocking -- 10 Cognitive parts : from Freud to Farah -- 11 Inference to cognitive architecture from individual case studies -- 12 Group data in cognitive neuropsychology -- 13 The explanatory power of lesioning neural nets -- 14 Social statistics and genuine inquiry : the case of The bell curve
    Note: "A Bradford book." , Description based on print version record , Includes bibliographical references (p. [205]-217) and index , Mind's arrows , 1.Introduction --2.Android epistemology for babies --3.Another way for nerds to make babies : the frame problem and causal inference in developmental psychology --4.A puzzling experiment --5.The puzzle resolved --6.Marilyn vos Savant meets Rescorla and Wagner --7.Cheng models --8.Learning procedures --9.Representation and rationality : the case of backward blocking --10.Cognitive parts : from Freud to Farah --11.Inference to cognitive architecture from individual case studies --12.Group data in cognitive neuropsychology --13.The explanatory power of lesioning neural nets --14.Social statistics and genuine inquiry : the case of The bell curve. , 1.Introduction2.Android epistemology for babies3.Another way for nerds to make babies : the frame problem and causal inference in developmental psychology4.A puzzling experiment5.The puzzle resolved6.Marilyn vos Savant meets Rescorla and Wagner7.Cheng models8.Learning procedures9.Representation and rationality : the case of backward blocking10.Cognitive parts : from Freud to Farah11.Inference to cognitive architecture from individual case studies12.Group data in cognitive neuropsychology13.The explanatory power of lesioning neural nets14.Social statistics and genuine inquiry : the case of The bell curve.
    Additional Edition: ISBN 0262072203
    Additional Edition: Print version Mind's arrows
    Language: English
    Keywords: Psychologie ; Entscheidungstheorie ; Kausalmodell ; Bayes-Netz ; Neuronales Netz ; Kausales Denken ; Psychologie ; Entscheidungstheorie ; Kausalmodell ; Bayes-Netz ; Neuronales Netz ; Kausales Denken ; Electronic books. ; Electronic books ; Electronic books
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Cambridge, Mass. [u.a] :MIT Press,
    UID:
    almahu_BV014418148
    Format: XV, 222 S. : , graph. Darst.
    Edition: 1. pr.
    ISBN: 0-262-07220-3
    Series Statement: A Bradford book
    Note: Includes bibliographical references (p. [205]-217) and index
    Language: English
    Subjects: Psychology
    RVK:
    Keywords: Psychologie ; Entscheidungstheorie ; Kausalmodell ; Bayes-Netz ; Neuronales Netz ; Kausales Denken
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cambridge, Mass. :MIT Press,
    UID:
    almahu_9949253394602882
    Format: 1 online resource (xv, 222 pages) : , illustrations.
    ISBN: 9780262273961 , 0262273969 , 9780262318730 , 0262318733 , 9780262072205 , 0262072203 , 058547544X , 9780585475448
    Series Statement: Bradford Bks.
    Content: 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.
    Note: "A Bradford book."
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cambridge, Mass. :MIT Press,
    UID:
    edocfu_9958073185402883
    Format: 1 online resource (xv, 222 p. ) , ill. ;
    ISBN: 0-262-27396-9 , 0-585-47544-X
    Content: 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.
    Note: "A Bradford book." , Introduction -- , Android epistemology for babies -- , Another way for nerds to make babies : the frame problem and causal inference in developmental psychology -- , A puzzling experiment -- , The puzzle resolved -- , Marilyn vos Savant meets Rescorla and Wagner -- , Cheng models -- , Learning procedures -- , Representation and rationality : the case of backward blocking -- , Cognitive parts : from Freud to Farah -- , Inference to cognitive architecture from individual case studies -- , Group data in cognitive neuropsychology -- , The explanatory power of lesioning neural nets -- , Social statistics and genuine inquiry : the case of The bell curve. , English
    Additional Edition: ISBN 0-262-07220-3
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Cambridge, Mass. :MIT Press,
    UID:
    edoccha_9958073185402883
    Format: 1 online resource (xv, 222 p. ) , ill. ;
    ISBN: 0-262-27396-9 , 0-585-47544-X
    Content: 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.
    Note: "A Bradford book." , Introduction -- , Android epistemology for babies -- , Another way for nerds to make babies : the frame problem and causal inference in developmental psychology -- , A puzzling experiment -- , The puzzle resolved -- , Marilyn vos Savant meets Rescorla and Wagner -- , Cheng models -- , Learning procedures -- , Representation and rationality : the case of backward blocking -- , Cognitive parts : from Freud to Farah -- , Inference to cognitive architecture from individual case studies -- , Group data in cognitive neuropsychology -- , The explanatory power of lesioning neural nets -- , Social statistics and genuine inquiry : the case of The bell curve. , English
    Additional Edition: ISBN 0-262-07220-3
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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