>state-of-the-art cognitive psychology, and may be looking at research in "distributional semantics", "concept spaces", "sparse representations", "small-world networks" and "learning and memory" neuroscience.
Look, uh, I've read Gardenfors too, but are those really the state of the art? I don't remember there being anything about them at CogSci this past summer. Maybe I wasn't paying close-enough attention?
In RL/DL context any CogSci developments after 1943 is the state of the art.
Some interesting recent work [1] related to Gardenfors ideas was combining them with discovery of place & grid cells, and extending the "cognitive maps" and spatial navigation machinery into concept spaces, treating the innate coordinate system as foundation for abstraction and generalization facilities.
And they actually found empirical data to prove it in [1] and related papers, so Gardenfors was right.
I believe it gotta be the starting point for anyone seriously considering an AI, kind of like Cartesian foundation. It also aligns nicely with rich "distributional semantics" work and popular vector space models.
Look, uh, I've read Gardenfors too, but are those really the state of the art? I don't remember there being anything about them at CogSci this past summer. Maybe I wasn't paying close-enough attention?