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Dissertation Information for John K. Kruschke

NAME:
- John K. Kruschke
- (Alias) John Kendall Kruschke

DEGREE:
- Ph.D.

DISCIPLINE:
- Psychology

SCHOOL:
- University of California, Berkeley (USA) (1990)

ADVISORS:
- None

COMMITTEE MEMBERS:
- None

MPACT Status: Incomplete - Inspected

Title: A connectionist model of category learning

Abstract: ALCOVE is a new connectionist model of category learning that models the course of learning in humans and their asymptotic performance. The model is a variant of back propagation, using Gaussian (radial basis function) hidden nodes, and adaptive attential strengths on the input dimensions. Unlike standard back propagation networks, ALCOVE cannot develop completely new dimensions for representing the stimuli, but it does learn to differentially attend to the given input dimensions. ALCOVE is succesfully applied to several category learning phenomena: (1) It correctly orders the difficulty of the six category types from the classic work of Shepard, Hovland and Jenkins (1961). (2) It accurately fits trial-by-trial learning data and mimics the base-rate neglect observed by Gluck and Bower (1988b). In preliminary work, it is also shown that ALCOVE can: (3) exhibit three-stage learning of high-frequency exceptions to rules (cf. Rumelhart & McClelland 1986), (4) show emergent graded internal structure in categories, i.e., typicality ratings, (5) produce asymmetries of similarities between typical and atypical exemplars, (6) show selective sensitivity to correlated dimensions, and (7) learn non-linearly separable categories faster than linearly separable categories, in those cases that humans do. It is also suggested that ALCOVE could serve as the input to a rule generating system, so that the dimensions most attended are the ones first used for rules. Moreover, it is shown that ALCOVE is falsifiable, in principle, and that there are some phenomena in category learning that ALCOVE cannot capture. Nevertheless, ALCOVE is attractive because of the broad range of phenomena it does model.

MPACT Scores for John K. Kruschke

A = 0
C = 2
A+C = 2
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2008-01-31 06:08:11

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