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ACT-R can best be summarized with this (tiny but more recent) graph: ACT-R is a cognitive architecture that tries to explain as much of human behavior as possible with as little rules as possible. It works at a high level of abstraction and came down to a list of so-called "modules", each having its own functions. The exact mechanisms of each of these ...


A true classic -- the Configural-Cue model -- uses the Rescorla-Wagner rule to learn associations between cues and outcomes. Link1 Link2 Link3 In my view this is one of the most straightforward (i.e., simplest) models of conditioning, likely a good starting point for you.


As explained in the NEF book, all non-linear dynamical systems can be represented in the NEF. The SPA is simply applying semantic meaning and manipulations to the vectors represented by the NEF. The two most prominent examples of this are the motor system and the inference system in Spaun, which are shown in the aforementioned "rapid variable creation" ...

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