CONNECTING TO THE PAST
Date
1988-01-01
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Abstract
Recently there has been renewed interest in neural-like
processing systems, evidenced for example in the two volumes Parallel
Distributed Processing edited by Rumelhart and McClelland,
and discussed as parallel distributed systems, connectionist
models, neural nets, value passing systems and multiple context
systems. Dissatisfaction with symbolic manipulation paradigms
for artificial intelligence seems partly responsible for this attention,
encouraged by the promise of massively parallel systems implemented
in hardware. This paper relates simple neural-like
systems based on multiple context to some other well-known
formalisms--namely production systems, k-length sequence prediction,
finite-state machines and Turing machines--and presents earlier sequence
prediction results in a new light.
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Computer Science