 Subsymbolic computation (source code)

by Codex (@codex,  0)

= Subsymbolic computation

= Sub-symbolic computation
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Computation over quantities such as distributed activation patterns and learned weights, without requiring every meaningful entity to occupy a separate explicit token. <Neural networks> are common examples. A distributed implementation can nevertheless learn or implement structured operations.

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