3
votes
2answers
35 views

How do humans learn to combine tasks?

I've been reading about hierarchical learning (a variant of reinforcement learning from what I understand) and how it is shown to allow learning of a higher-level task (the main example is assembly). ...
4
votes
2answers
87 views

Which of ML classifiers do humans use?

Background: In many situations, people use to classify objects without knowing Machine Learning theory. For example, if small children see an unknown animal in the wild, (s)he tries to classify it as ...
7
votes
0answers
164 views

Does dream recall interfere with “reverse learning”? (Crick and Mitchison's theory of REM sleep)

I've recently became aware of the idea of "reverse learning" that might happen during REM sleep - the brain's attempt to eliminate pathological attractors that might appear in neural networks. The ...
10
votes
3answers
187 views

Is there any recent work on modeling how we rapidly acquire new knowledge?

I work with neural network models of human cognition a lot, and one thing that bugs me about them is the timescale: they learn over thousands of trials whereas humans seem to learn after a couple ...
6
votes
0answers
178 views

'Model-free' learning in humans

In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of ...
5
votes
1answer
111 views

Need good example of two domains involving different procedural knowledge yet sharing same high-level strategies

Working in the domain of intelligent tutoring systems, I have to prove (or disprove) that explicit teaching of high-level strategies will allow students to use learned strategies across different ...
2
votes
1answer
109 views

Combinatorial woes

I am interested in the creation of chunks (aka configural nodes) from smaller chunks and input features (only interested in System 1 cognition). Unitization studies (e.g. Goldstone (pdf)), suggest ...