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COGNITIVE SCIENCE, 14, 179-211 (1990). Finding Structure in Time
 

Summary: Page 1
COGNITIVE SCIENCE, 14, 179-211 (1990).
Finding Structure in Time
JEFFREY L. ELMAN
University of California, San Diego
Time underlies many interesting human behaviors. Thus, the question of
how to represent time in connectionist models is very important. One
approach is to represent time implicitly by its effects on processing rather
than explicitly (as in a spatial representation). The current report develops
a proposal along these lines first described by Jordan (1986) which
involves the use of recurrent links in order to provide networks with a
dynamic memory. In this approach, hidden unit patterns are fed back to
themselves; the internal representations which develop thus reflect task
demands in the context of prior internal states. A set of simulations is
reported which range from relatively simple problems (temporal version
of XOR) to discovering syntactic/semantic features for words. The
networks are able to learn interesting internal representations which
incorporate task demands with memory demands; indeed, in this approach
the notion of memory is inextricably bound up with task processing. These
representations reveal a rich structure, which allows them to be highly

  

Source: Alishahi, Afra - Department of Computational Linguistics and Phonetics, Universitšt des Saarlandes
Meeden, Lisa A. - Computer Science Department, Swarthmore College

 

Collections: Computer Technologies and Information Sciences; Engineering