Multidimensional models of perception and cognition
著者
書誌事項
Multidimensional models of perception and cognition
(Scientific psychology series, . Edited volumes)
L. Erlbaum, 1992
- : pbk
大学図書館所蔵 全45件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 485-508) and indexes
内容説明・目次
内容説明
The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.
目次
Contents: F.G. Ashby, Multivariate Probability Distributions. Part I:Similarity, Preference, and Choice.J.L. Zinnes, D.B. MacKay, A Probabilistic Multidimensional Scaling Approach: Properties and Procedures. G. De Soete, J.D. Carroll, Probabilistic Multidimensional Models of Pairwise Choice Data. U. Bo"ckenholt, Multivariate Models of Preference and Choice. D.M. Ennis, K. Mullen, A General Probabilistic Model for Triad Discrimination, Preferential Choice, and Two-Alternative Identification. N.A. Perrin, Uniting Identification, Similarity and Preference: General Recognition Theory. Part II:Interactions Between Perceptual Dimensions.W.T. Maddox, Perceptual and Decisional Separability. H. Kadlec, J.T. Townsend, Signal Detection Analyses of Dimensional Interactions. T.D. Wickens, L.A. Olzak, Three Views of Association in Concurrent Detection Ratings. Part III:Detection, Identification, and Categorization.J.P. Thomas, L.A. Olzak, Simultaneous Detection and Identification. D.M. Ennis, Modeling Similarity and Identification When There Are Momentary Fluctuations in Psychological Magnitudes. A.A.J. Marley, Developing and Characterizing Multidimensional Thurstone and Luce Models for Identification and Preference. Y. Takane, T. Shibayama, Structures in Stimulus Identification Data. R.M. Nosofsky, Exemplar-Based Approach to Relating Categorization, Identification, and Recognition. M.M. Cohen, D.W. Massaro, On the Similarity of Categorization Models. F.G. Ashby, Multidimensional Models of Categorization.
「Nielsen BookData」 より