Connecting to the Past

Part of Neural Information Processing Systems 0 (NIPS 1987)

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Bruce MacDonald


Recently there has been renewed interest in neural-like processing systems, evidenced for ex(cid:173) ample 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-Iength sequence prediction, finite-state machines and Turing machines-and presents earlier sequence prediction results in a new light.