It seems like a reasonable and not uncommon idea that an AI could be built as a mostly-hierarchical autoassiciative memory. As you point out, it's not so different from Hawkins's ideas. Neighboring "pixels" will correlate in space and time; "features" such as edges should become principle components given enough data, and so on. There is a bunch of such work on self-organizing the early visual system like this. That overall concept doesn't get you very far though; the trick is to make it work past the first few rather obvious feature extraction stages of sensory data, and to account for things like episodic memory, language use, goal-directed behavior, and all other cognitive activity that is not just statistical categorization. I sympathize with your approach and wish you luck. If you think you have something that produce more than Hawkins has with his HTM, please explain it with enough precision that we can understand the details.
Good questions. I agree with you on Hawkins & HTM, but his main problem is conceptual. He seems to be profoundly confused as to what the hierarchy should select for: generality or novelty. He nominates both, apparently not realizing that they're mutually exclusive. This creates a difficulty in defining a quantitative criterion for selection, which is a key for my approach. This internal inconsistency leads to haphazard hacking in the HTM. For example, he starts by comparing 2D frames in a binary fashion, which pretty perverse for an incremental approach. I start from the begining, by comparing pixels: the limit of resolution, & I quantify the degree of match right there, as a distinct variable. I also record & compare explicit coordinates & derivatives, while he simply junks all that information. His approach doesn't scale because it's not consistent & incremental enough. I disagree that we need to specifically code episodic memory, language, & action, - to me these are "emergent properties" (damn, I hate that word:)). Boris. http://scalable-intelligence.blogspot.com/ ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=98558129-0bdb63 Powered by Listbox: http://www.listbox.com