Prototype Effects in Categorization by Pigeons

A frequent finding from studies of categorization with humans is that exemplars that can be said to represent the central tendency of a category are the easiest to classify correctly. Reed (1972) described one example of such a prototype effect; Reed showed students cartoon drawings of faces that belonged t o two categories. The faces for one category had, on average, smaller foreheads, more closely spaced eyes, and shorter noses than those i n the other category. Once the subjects were able to sort the faces correctly, test trials with novel patterns were given. The test patterns that were most accurately classified were those that corresponded to the averages of the faces belonging to the two categories, that is, the prototypes. In a rather different study, Posner and Keele (1968) generated four prototypical patterns from a number of dots. They then distorted these patterns to some extent by moving the dots, and the resultant figures were used for a categorization study. Once subjects were able to sort the distorted patterns into groups on the basis of their prototypes, they were required to sort a number of novel patterns, including the prototypes. The more similar a novel pattern was to a category prototype, the easier it was to classify. For the above-mentioned experiments, the prototypes were based on the mean values of the various dimensions from which the exemplars of the respective categories had been constructed. Prototype effects can also be observed when the test stimulus is based on a rather different measure of central tendency. Goldman and Homa (1977) conducted a study based on cartoon drawings of faces, in which the prototypical faces were composed of the features that most frequently appeared in the training faces. Such modal faces were classified more efficiently than any other faces, in

[1]  M. Posner,et al.  On the genesis of abstract ideas. , 1968, Journal of experimental psychology.

[2]  R. Rescorla Variation in the effectiveness of reinforcement and nonreinforcement following prior inhibitory conditioning , 1971 .

[3]  K. Spence,et al.  Essays in neobehaviorism : a memorial volume to Kenneth W. Spence , 1971 .

[4]  Stephen K. Reed,et al.  Pattern recognition and categorization , 1972 .

[5]  R. Rescorla,et al.  A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement , 1972 .

[6]  R. Herrnstein,et al.  Natural concepts in pigeons. , 1976, Journal of experimental psychology. Animal behavior processes.

[7]  A test for response summation with key-projected stimuli. , 1977 .

[8]  Response summation to a compound stimulus in a context of choice. , 1977, Journal of the experimental analysis of behavior.

[9]  D. Homa,et al.  Integrative and metric properties of abstracted information as a function of category discriminability, instance variability, and experience. , 1977 .

[10]  F. Hayes-Roth,et al.  Concept learning and the recognition and classification of exemplars , 1977 .

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

[12]  S. Lea,et al.  Discrimination of Polymorphous Stimulus Sets by Pigeons , 1978 .

[13]  B. Fischhoff,et al.  Journal of Experimental Psychology: Human Learning and Memory , 1980 .

[14]  James L. McClelland,et al.  Distributed memory and the representation of general and specific information. , 1985, Journal of experimental psychology. General.

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

[16]  James L. McClelland,et al.  A distributed model of human learning and memory , 1986 .

[17]  J. Pearce A model for stimulus generalization in Pavlovian conditioning. , 1987, Psychological review.

[18]  Shigeru Watanabe,et al.  Failure of visual prototype learning in the pigeon , 1988 .

[19]  G. Bower,et al.  From conditioning to category learning: an adaptive network model. , 1988 .

[20]  J. Pearce The Acquisition of an Artificial Category by Pigeons , 1989 .

[21]  S. Lea,et al.  Category discrimination by pigeons using five polymorphous features. , 1990, Journal of the experimental analysis of behavior.

[22]  M. Gluck Stimulus Generalization and Representation in Adaptive Network Models of Category Learning , 1991 .

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

[24]  A Test of the Linear Feature Model of Polymorphous Concept Discrimination with Pigeons , 1993 .

[25]  M. Jitsumori Category discrimination of artificial polymorphous stimuli based on feature learning. , 1993 .