An exemplar-based random walk model of speeded classification.

The authors propose and test an exemplar-based random walk model for predicting response times in tasks of speeded, multidimensional perceptual classification. The model combines elements of R. M. Nosofsky's (1986) generalized context model of categorization and G. D. Logan's (1988) instance-based model of automaticity. In the model, exemplars race among one another to be retrieved from memory, with rates determined by their similarity to test items. The retrieved exemplars provide incremental information that enters into a random walk process for making classification decisions. The model predicts correctly effects of within- and between-categories similarity, individual-object familiarity, and extended practice on classification response times. It also builds bridges between the domains of categorization and automaticity.

[1]  Feller William,et al.  An Introduction To Probability Theory And Its Applications , 1950 .

[2]  B. Harshbarger.  An Introduction to Probability Theory and its Applications, Volume I , 1958 .

[3]  R. Shepard,et al.  Stimulus generalization in the learning of classifications. , 1963, Journal of experimental psychology.

[4]  R. Shepard.  Attention and the metric structure of the stimulus space. , 1964 .

[5]  M. Posner,et al.  Perceived distance and the classification of distorted patterns. , 1967, Journal of experimental psychology.

[6]  W. R. Garner,et al.  Integrality of stimulus dimensions in various types of information processing , 1970 .

[7]  G. Lockhead.  Processing dimensional stimuli: a note. , 1972, Psychological review.

[8]  James R. Pomerantz,et al.  Stimules configuration in selective attention tasks , 1973 .

[9]  H. Simon,et al.  Perception in chess , 1973 .

[10]  H. Simon,et al.  A simulation of memory for chess positions. , 1973 .

[11]  W. R. Garner.  The Processing of Information and Structure , 1974 .

[12]  W. R. Garner,et al.  Filtering and condensation tasks with integral and separable dimensions , 1975 .

[13]  S. Link,et al.  A sequential theory of psychological discrimination , 1975 .

[14]  W. R. Garner,et al.  Interaction of stimulus dimensions in concept and choice processes , 1976, Cognitive Psychology.

[15]  W. Estes.  The cognitive side of probability learning. , 1976 .

[16]  Douglas L. Medin,et al.  Context theory of classification learning. , 1978 .

[17]  Roger Ratcliff,et al.  A Theory of Memory Retrieval. , 1978 .

[18]  A. D. D. Groot.  Thought and Choice in Chess , 1978 .

[19]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[20]  Allen and Rosenbloom Paul S. Newell,et al.  Mechanisms of Skill Acquisition and the Law of Practice , 1993 .

[21]  J. Busemeyer.  Choice behavior in a sequential decision-making task☆☆☆ , 1982 .

[22]  John R. Anderson.  Acquisition of cognitive skill. , 1982 .

[23]  Joseph L. Zinnes,et al.  Probabilistic multidimensional scaling: Complete and incomplete data , 1983 .

[24]  James T. Townsend,et al.  The Stochastic Modeling of Elementary Psychological Processes , 1983 .

[25]  R. Nosofsky.  American Psychological Association, Inc. Choice, Similarity, and the Context Theory of Classification , 2022 .

[26]  C. F. Foard,et al.  Holistic and analytic modes of processing: the multiple determinants of perceptual analysis. , 1984, Journal of experimental psychology. General.

[27]  J. Busemeyer.  Decision making under uncertainty: a comparison of simple scalability, fixed-sample, and sequential-sampling models. , 1985, Journal of experimental psychology. Learning, memory, and cognition.

[28]  B. Murdock.  An analysis of the strength-latency relationship , 1985, Memory & cognition.

[29]  N. Perrin,et al.  Varieties of perceptual independence. , 1986, Psychological review.

[30]  Douglas L. Hintzman,et al.  "Schema Abstraction" in a Multiple-Trace Memory Model , 1986 .

[31]  R. Duncan Luce,et al.  Response Times: Their Role in Inferring Elementary Mental Organization , 1986 .

[32]  R. Nosofsky.  Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.

[33]  W. Estes.  Array models for category learning , 1986, Cognitive Psychology.

[34]  R. Shepard,et al.  Toward a universal law of generalization for psychological science. , 1987, Science.

[35]  G. Logan.  Toward an instance theory of automatization. , 1988 .

[36]  R. Nosofsky.  Attention and learning processes in the identification and categorization of integral stimuli. , 1987, Journal of experimental psychology. Learning, memory, and cognition.

[37]  D M Ennis,et al.  Toward a universal law of generalization. , 1988, Science.

[38]  Gregory Ashby,et al.  Decision rules in the perception and categorization of multidimensional stimuli. , 1988, Journal of experimental psychology. Learning, memory, and cognition.

[39]  J W Grau,et al.  The distinction between integral and separable dimensions: evidence for the integrality of pitch and loudness. , 1988, Journal of experimental psychology. General.

[40]  William B Estes,et al.  Similarity , Frequency , and Category Representations , 1988 .

[41]  C. Bundesen.  A theory of visual attention. , 1990, Psychological review.

[42]  R. Nosofsky.  Relations between exemplar-similarity and likelihood models of classification , 1990 .

[43]  L E Marks,et al.  Perceptual primacy of dimensions: support for a model of dimensional interaction. , 1990, Journal of experimental psychology. Human perception and performance.

[44]  G. Logan.  Repetition priming and automaticity: Common underlying mechanisms? , 1990, Cognitive Psychology.

[45]  R. Nosofsky,et al.  Typicality in logically defined categories: Exemplar-similarity versus rule instantiation , 1991, Memory & cognition.

[46]  Gordon D. Logan,et al.  Automatizing alphabet arithmetic: I. Is extended practice necessary to produce automaticity? , 1991 .

[47]  R. Nosofsky.  Tests of an exemplar model for relating perceptual classification and recognition memory. , 1991, Journal of experimental psychology. Human perception and performance.

[48]  L. Brooks,et al.  Role of specific similarity in a medical diagnostic task. , 1991, Journal of experimental psychology. General.

[49]  John R. Anderson,et al.  The Adaptive Nature of Human Categorization , 1991 .

[50]  F. Gregory Ashby,et al.  A Response Time Theory of Perceptual Independence , 1991 .

[51]  R. Nosofsky,et al.  Predicting similarity and categorization from identification. , 1991, Journal of experimental psychology. General.

[52]  R. Nosofsky.  Similarity Scaling and Cognitive Process Models , 1992 .

[53]  Hans Colonius,et al.  The “horse race” random utility model for choice probabilities and reaction times, and its competing risks interpretation , 1992 .

[54]  L. Brooks,et al.  Experimental studies of learning dermatologic diagnosis: The impact of examples , 1992 .

[55]  Robert M. Nosofsky,et al.  Exemplar-based approach to relating categorization, identification, and recognition , 1992 .

[56]  J. Kruschke,et al.  ALCOVE: an exemplar-based connectionist model of category learning. , 1992, Psychological review.

[57]  F. Gregory Ashby,et al.  Multidimensional models of categorization. , 1992 .

[58]  G. Logan.  Shapes of reaction-time distributions and shapes of learning curves: a test of the instance theory of automaticity. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[59]  R. Nosofsky,et al.  Combining exemplar-based category representations and connectionist learning rules. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[60]  W T Maddox,et al.  Comparing decision bound and exemplar models of categorization , 1993, Perception & psychophysics.

[61]  W. T. Maddox,et al.  Relations between prototype, exemplar, and decision bound models of categorization , 1993 .

[62]  John K. Kruschke,et al.  Human Category Learning: Implications for Backpropagation Models , 1993 .

[63]  G. Logan,et al.  Memory-based automaticity in the discrimination of visual numerosity. , 1993, Journal of experimental psychology. Learning, memory, and cognition.

[64]  F. Gregory Ashby,et al.  Categorization response time with multidimensional stimuli , 1994, Perception & psychophysics.

[65]  J. Anderson,et al.  Acquisition of procedural skills from examples. , 1994, Journal of experimental psychology. Learning, memory, and cognition.

[66]  David R. Shanks,et al.  Tests of an Adaptive Network Model for the Identification and Categorization of Continuous-dimension Stimuli , 1994, Connect. Sci..

[67]  William K. Estes,et al.  Classification and cognition , 1994 .

[68]  R. Melara,et al.  Contextual influences on interactive processing: Effects of discriminability, quantity, and uncertainty , 1994, Perception & psychophysics.

[69]  R. Nosofsky,et al.  Rule-plus-exception model of classification learning. , 1994, Psychological review.

[70]  Arthur F. Kramer,et al.  Strategies and automaticity. I: Basic findings and conceptual framework , 1994 .

[71]  W. T. Maddox,et al.  A response time theory of separability and integrality in speeded classification , 1994 .

[72]  W T Maddox,et al.  Interactions of stimulus attributes, base rates, and feedback in recognition. , 1995, Journal of experimental psychology. Learning, memory, and cognition.

[73]  S C McKinley,et al.  Investigations of exemplar and decision bound models in large, ill-defined category structures. , 1995, Journal of experimental psychology. Human perception and performance.

[74]  Koen Lamberts,et al.  Categorization under time pressure. , 1995 .

[75]  W T Maddox,et al.  Perceptual separability, decisional separability, and the identification-speeded classification relationship. , 1996, Journal of experimental psychology. Human perception and performance.

[76]  Gordon D. Logan,et al.  THE CODE THEORY OF VISUAL ATTENTION : AN INTEGRATION OF SPACE-BASED AND OBJECT-BASED ATTENTION , 1996 .

[77]  G. Logan.  The CODE theory of visual attention: an integration of space-based and object-based attention. , 1996, Psychological review.

[78]  R. Duncan Luce,et al.  Choice, Decision, and Measurement: Essays in Honor of R. Duncan Luce , 1997 .

[79]  T. Palmeri.  Exemplar similarity and the development of automaticity. , 1997, Journal of experimental psychology. Learning, memory, and cognition.

[80]  R M Nosofsky,et al.  Comparing exemplar-retrieval and decision-bound models of speeded perceptual classification , 1997, Perception & Psychophysics.

[81]  Thomas J. Palmeri,et al.  An Exemplar-Based Random Walk Model of Speeded Classification , 1997 .

[82]  Attention! , 1998, Trends in Cognitive Sciences.

[83]  Koen Lamberts,et al.  The time course of categorization. , 1998 .