The development 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 describe human mental abilities in terms of artificial neural networks. A neural network consists of a large number of nodes and units which are joined together to form an interconnection network. Within these interconnections, knowledge is distributed. Therefore learning is a processing by-product. This article is about the concept of connectionism, what it accounts for and what it doesn't take into account. Finally, different approaches to connectionism are discussed.
CITATION STYLE
Banan, S., Ridwan, M., & Adisaputera, A. (2020). A Study of Connectionism Theory. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 3(3), 2335–2342. https://doi.org/10.33258/birci.v3i3.1181
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