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SAC (source of activation confusion) is a computational model of memory encoding and retrieval. It has been developed by Lynne M. Reder at Carnegie Mellon University. It shares many commonalities with ACT-R.
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memory sac model activation act-r nodes context computational encoding semantic concept perceptual episodic feature recognition source confusion retrieval developed lynne
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| spreading activation | instance of | the node activations are governed by a set of common computational principles | 0.80 | text |
| the strengthening | instance of | the node activations are governed by a set of common computational principles | 0.80 | text |
| decay of activation | instance of | the node activations are governed by a set of common computational principles | 0.80 | text |
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