Connectionism: The Pros and Cons
DOI:
https://doi.org/10.53555/es.v1i1.892Keywords:
: connectionism, neural networks, node, interconnection, weight, cue.Abstract
The emergence of connectionism represents a paradigm shift in science. Connectionism has its root in cognitive and computational neuroscience. Likening the brain to a computer, connectionism tries to explain human mental abilities in terms of artificial neural networks. A neural network consists of large number of nodes/units joined together to form a network of interconnections. Knowledge is distributed among these interconnections. Therefore, learning is a by-product of processing. This article deals with the concept of connectionism, what it accounts for and what it does not account for. Furthermore, a comparison between traditional symbolic view and connectionist view is presented. Finally, different approaches to connectionism are discussed.
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