LEADER 05561nam 2200841Ia 450 001 9910464866003321 005 20211005162912.0 010 $a0-19-510974-0 010 $a0-19-536088-5 010 $a1-280-47379-7 010 $a9786610473793 010 $a1-4237-6471-4 010 $a1-60129-866-8 035 $a(CKB)2560000000299310 035 $a(EBL)3052054 035 $a(OCoLC)922952737 035 $a(SSID)ssj0000085893 035 $a(PQKBManifestationID)11126503 035 $a(PQKBTitleCode)TC0000085893 035 $a(PQKBWorkID)10029623 035 $a(PQKB)10463072 035 $a(SSID)ssj0001143436 035 $a(PQKBManifestationID)12474094 035 $a(PQKBTitleCode)TC0001143436 035 $a(PQKBWorkID)11109982 035 $a(PQKB)10521593 035 $a(StDuBDS)EDZ0000073389 035 $a(MiAaPQ)EBC3052054 035 $a(Au-PeEL)EBL3052054 035 $a(CaPaEBR)ebr10142222 035 $a(CaONFJC)MIL47379 035 $a(MiAaPQ)EBC271184 035 $a(Au-PeEL)EBL271184 035 $a(OCoLC)696450255 035 $a(EXLCZ)992560000000299310 100 $a19930323d1994 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aClassification and cognition$b[electronic resource] /$fW.K. Estes 210 $aNew York $cOxford University Press$d1994 215 $a1 online resource (295 p.) 225 1 $aOxford psychology series ;$vno. 22 300 $aDescription based upon print version of record. 311 $a0-19-507335-5 311 $a0-19-986789-5 320 $aIncludes bibliographical references (p. [259]-272) and indexes. 327 $aContents; 1. INTRODUCTION AND BASIC CONCEPTS; 1.1 Classification and cognition: an overview; 1.1.1 Concepts and categories; 1.1.2 Approaches to categorization: two theoretical traditions; 1.1.3 Categorization and induction; 1.1.4 Remarks on theoretical style; 1.2 The array model framework; 1.2.1 Representation: attributes, dimensions, and features; 1.2.2 The problem of access to memory; 1.2.3 Comparison and similarity; 1.2.4 The product rule for patterns of binary-valued attributes; 1.2.5 The core model for classification 327 $aAppendix 1.1 Union and intersection rules for computation of pattern similarity Appendix 1.2 Attentional learning in the exemplar model; 2. CATEGORY STRUCTURES AND CATEGORIZATION; 2.1 Similarity in theories of classification; 2.1.1 The core model applied to a natural category; 2.1.2 From similarity to response probability; 2.1.3 An alternative measure of similarity: the contrast model; 2.2 Predicting categorization performance; 2.2.1 The simplest categorization model in the array framework; 2.2.2 On category structures and conceptual levels ; 3. MODELS FOR CATEGORY LEARNING 327 $a3.1 The exemplar-similarity model 3.1.1 Augmentations of the core model; 3.1.2 Categorization and identification; 3.1.3 Similarity and cognitive distance; 3.1.4 Status of the exemplar-similarity model; 3.2 Network-based learning models; 3.2.1 A simple adaptive network model; 3.2.2 The similarity-network model; 3.2.3 Pattern to feature transfer; Appendix 3.1 Categorization probability for the exemplar model in relation to initial memory load; Appendix 3.2 Similarity-network output and learning functions for standard four-pattern categorization 327 $aAppendix 3.3 Additional details of Experiment 3.1 procedure 4. CATEGORIZATION AND MEMORY PROCESSING; 4.1 Concurrent categorizations; 4.2 Categorization with constraints on memory; 4.2.1 Categorization with constrained repetition lags; 4.2.2 Categorization based on short-term memory; 4.2.3 Analyses of response frequency data; 4.2.4 Analyses of reaction times; 4.3 A modular view of exemplar and network models; Appendix 4.1 Method of Experiment 4.1; Appendix 4.2 Learning about invalid cues in concurrent categorizations: Experiment 4.2 327 $aAppendix 4.3 Method of Experiment 4.4: categorization in short-term memory 5. ON THE STORAGE AND RETRIEVAL OF CATEGORICAL INFORMATION; 5.1 Standard versus observational training procedures; 5.1.1 Method for comparison of training procedures; 5.1.2 Results for comparisons of training procedures; 5.2 Learning on the basis of average or configural prototypes; 5.3 Inducing prototypes; 5.4 Predicting features from categories; 5.4.1 Feature-frequency estimates based on long-term memory; 5.4.2 Feature-frequency estimates based on shorter-term memory; 5.5 Pattern completion 327 $aAppendix 5.1 Induction of prototypes in a correlated-feature category structure: Experiment 5.1 330 8 $aBased on the Fitts Lectures, this volume presents a core set of concepts and principles that proposes a unified interpretation of a wide variety of phenomena of memory, categorization and decision-making. These theories are then applied to issues in category-learning and recognition. 410 0$aOxford psychology series ;$vno. 22. 606 $aCategorization (Psychology) 606 $aRecognition (Psychology) 606 $aCognitive learning theory 608 $aElectronic books. 615 0$aCategorization (Psychology) 615 0$aRecognition (Psychology) 615 0$aCognitive learning theory. 676 $a153/.012 700 $aEstes$b William K$g(William Kaye)$01037137 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464866003321 996 $aClassification and cognition$92457895 997 $aUNINA