Can analytic reasoning be understood as a form of attentional learning?
I have a particular concept of attentional learning in mind, which requires memorizing configurations in a consciously accessible protocol. Usually that happens because the reward event happens far distant from the action, but it also enables dependency analysis.
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I would need a little more explanation to see what you are getting at. It's not clear to me how you make the leap from an attentional mechanism into analytical reasoning. I'm unaware as to how relational neural networks are drastically improved with attention. What's the insight?
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The attentional protocol stores the latent variables of the model configuration that you want to train as pointers (you have to do that because the mind reconfigures itself all the time, and is not differentiable). Analytical reasoning requires pointers, stack and heap operations
End of conversation
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If I understand it well, when I do some analysis using (maximal?) attention then the process of learning proceeds directly. It is shorter process.
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