Editing Connectionism and Parallel Processing (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Connectionism''' — An "Approach" in "Cognitive Science" that "Models" "Mental Phenomena" using "Artificial Neural Networks."
* '''Parallel Processing''' — The "Simultaneous" "Operation" of "Millions of Connections," rather than "Sequential" (one-at-a-time) steps.
* '''Unit''' (Neuron) — A "Simple Element" that "Receives Signals," "Sums them up," and "Fires" an "Output" if a "Threshold" is reached.
* '''Weight''' — The "Strength" of a "Connection" between two units: "Learning" is the "Adjustment" of these weights.
* '''Distributed Representation''' — The "Idea" that a "Concept" (e.g., 'The color Red') is "Stored" across "Many Neurons," not in "One Specific Spot."
* '''Hidden Layer''' — The "Middle Layers" of a network where "Internal Features" are "Extracted" (The 'Black Box' of the mind).
* '''Backpropagation''' — (See Article 01). The "Mathematical Algorithm" used to "Correct" the "Weights" based on "Errors."
* '''Graceful Degradation''' — The "Feature" where the "System" "Still Functions" (though worse) if some "Parts" are "Damaged," unlike "Classical Code" which "Crashes."
* '''Sub-symbolic''' — The "Level" of "Intelligence" "Below" "Language": "Knowledge" that is "Felt" or "Seen" as "Patterns" rather than "Words."
* '''Constraint Satisfaction''' — The "Process" where a network "Settles" into a "Stable State" that "Fits" "All the Data."
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