Miller Shettleworth Essay

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Pages: 86

Journal of Experimental Psychology: Animal Behavior Processes 2007, Vol. 33, No. 3, 191–212

Copyright 2007 by the American Psychological Association 0097-7403/07/$12.00 DOI: 10.1037/0097-7403.33.3.191

Learning About Environmental Geometry: An Associative Model
Noam Y. Miller and Sara J. Shettleworth
University of Toronto
K. Cheng (1986) suggested that learning the geometry of enclosing surfaces takes place in a geometric module blind to other spatial information. Failures to find blocking or overshadowing of geometry learning by features near a goal seem consistent with this view. The authors present an operant model in which learning spatial features competes with geometry learning, as in the Rescorla–Wagner model. Relative total
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Here we present a model of geometry learning that offers what is, to the best of our knowledge, the first suggested explanation for

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MILLER AND SHETTLEWORTH

A

B

0.3 Control 0.2 Blocking

VG
0.1 0 1 3 5 7 9 11 13 15 17 19

Trial

C

0.7 0.5 0.3

D
B G W F

0.1 -0.1 -0.3

0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 -0.1 -0.2

V

E

Trial
0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 1 3 5 7 9 11 13 15 17 19 Correct Rotational Near / Far

V

F

Trial
0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 1 3 5 7 9 11 13 15 17 19

P

P

Trial

Trial

Figure 1. The model of Wall et al. (2004, Experiment 3). Panel A shows the enclosure used in the example. The filled circle indicates the rewarded corner, marked C. The black triangle indicates a feature. Panel B shows a comparison of the associative strength of the correct geometry (VG) across trials between the control and blocking groups. Panel C shows associative strengths of all model elements for the control group. Panel D shows associative strengths of all model elements for the blocking group. Panel E shows first choice probabilities for each of the four corners for the control group. Panel F shows first choice probabilities for each of the four corners for the blocking group. F (in Panel A) far corner; C correct