Connectionism can be traced to ideas more than a century old, which were little more than speculation until the mid-to-late 20th century.
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Connectionism is the use of artificial neural networks to model specific cognitive processes using what are considered to be simplified but plausible models of how neurons operate.
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MOGUL espouses both modularity of mind and a constrained form of connectionism with a complex web of expert systems, each with its own particular organising principles.
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The textbook by David E . Rumelhart and James McClelland ( 1986 ) provided a full exposition of the use of connectionism in computers to simulate neural processes.
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Connectionism is a study of systems in which the learning is stored in the linkages, or connections, not in what is normally thought of as content.
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:: Connectionist theory started to expand to include cognitive concepts because it was found that connectionism could not adequately explain all behavioural phenomena that could be observed.
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These issues cause neural network models to be ineffective on studying higher forms of information-processing, and hinder connectionism from advancing the general understanding of human cognition.
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That is, connectionism flirts with DST when it comes to the usage of differential equations and flirts with theories like SIT when it comes to the representation of information.
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Significant approaches in the field today are : systemic functional linguistics, sociocultural theory, cognitive linguistics, Noam Chomsky's universal grammar, skill acquisition theory and connectionism.
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The books are now considered seminal connectionist works, and it is now common to fully equate PDP and connectionism, although the term " connectionism " is not used in the books.
