Strong agreement. Considerations from cognitive science might also help us to get a handle on how difficult the problem of general intelligence is, and the limits of certain techniques (e.g. reinforcement learning). This could help clarify our thinking on AI timelines as well as the constraints which any AGI must satisfy. Misc. topics that jump to mind are the mental modularity debate, the frame problem, and insight problem solving.
Also, have you seen this AI Impacts post and the interview it links to? I would expect so, but it seems worth asking. Tom Griffiths makes similar points to the ones you’ve made here.
Strong agreement. Considerations from cognitive science might also help us to get a handle on how difficult the problem of general intelligence is, and the limits of certain techniques (e.g. reinforcement learning). This could help clarify our thinking on AI timelines as well as the constraints which any AGI must satisfy. Misc. topics that jump to mind are the mental modularity debate, the frame problem, and insight problem solving.
This is a good article on AI from a cog sci perspective: https://arxiv.org/pdf/1604.00289.pdf
Yay, correctly guessed which article that was before clicking on the link. :-)
Also, have you seen this AI Impacts post and the interview it links to? I would expect so, but it seems worth asking. Tom Griffiths makes similar points to the ones you’ve made here.
I’d seen that, but re-reading it was useful. :)