Technical Report
ANDERSON%BROWNCOG.BITNET@MITVMA.MIT.EDU
ANDERSON%BROWNCOG.BITNET at MITVMA.MIT.EDU
Tue Jun 6 06:52:25 EDT 2006
A technical report is available from the Brown University
Department of Cognitive and Linguistic Sciences:
Technical Report 88-01
Department of Cognitive and Linguistic Sciences
Brown University
Representing Simple Arithmetic in Neural Networks
Susan R. Viscuso, James A. Anderson and Kathryn T. Spoehr
This report discuses neural network models of qualitative
multiplication. We review past research in magnitude representation
and cognitive arithmetic. We then develop a framework for
building neural network models that exhibit behaviors that
mimic the empirical results. The simulations show that neural
net models can carry out qualitative multiplication given
an adequate representation of magnitude information. It is
possible to model a number of interesting psychological
effects such as associative interference, practice effects,
and the symbolic distance effect. However, this set of
simulations clearly shows that neural networks are not
satisfactory as devices for doing accurate arithmetic. It is
possible to spend many hours of supercomputer CPU time teaching
multiplication to a network, and still have a system that makes
many errors. If, however, instead of accuracy we view this
simulation as developing a very simple kind of `number sense,'
with the formation and use of internal representations
of sizes of numbers, then the simulation is more interesting.
When real mathematicians and real physicists think about
mathematics and physics, they rarely use logic or formal
reasoning, but use past experience and their intuitive understanding
of the complex systems they work on. We suspect a useful
goal for network models may be to develop similar qualitative
intuition in complex problem solving domains.
This technical report can be obtained by sending an email
message to Anderson at BROWNCOG (BITNET) or a request to:
James A. Anderson
Department of Cognitive and Linguistic Sciences
Box 1978
Brown University
Providence, RI 02912
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