--- "YKY (Yan King Yin)" <[EMAIL PROTECTED]> wrote: > Let me list all the ways of AGI knowledge acquisition: > > A) manual encoding in logical form > B) manual teaching in NL and pictures > C) learning in virtual reality (eg Second Life) > D) embodied learning (eg computer vision) > E) inductive learning / extraction from existing texts
In the distributed query/message posting service I have proposed in http://www.mattmahoney.net/agi.html all of these methods could be used. The system creates a marketplace that rewards intelligence and cooperation with computing resources -- storage and bandwidth. Personally, I believe the system will favor extracting information from existing data on the internet and from interacting with humans in natural language, plus some manual encoding of knowledge. The requirement that peers communicate in natural language is not onerous. It is not necessary for each peer to fully solve the problem. Your calculator uses natural language in that it uses and understands symbols like "3" and "+". Likewise, experts in 1959 baseball statistics (the latest year available at the time) have been written to understand queries like "how many games did the Yankees win in July?" [1]. Nor is it hard for each peer to route messages to the right experts. The system would work (albeit very inefficiently) if peers simply broadcast messages to every other peer that it knows about. A better, but still simple strategy would be to match terms to previously stored messages and forward to the peers that sent them. Peers will reward peers by prioritizing the messages of those that broadcast more selectively, thus increasing their own reputations. There will be an economic pressure to increase intelligence with better language models, i.e. a thesaurus or parsing to improve message understanding. Although I described the protocol using text, it could be extended to speech and images. For example, a peer would be rewarded if it could match a picture of a baseball player to an expert on baseball. I guess the question YKY would have is, how can I make money from this? Well, nobody would have control over it, but it does present opportunities for profit in a market that doesn't yet exist. I think it is worthwhile to investigate it and at least have a head start. References 1. Bert F. Green Jr., Alice K. Wolf, Carol Chomsky, and Kenneth Laughery, Baseball: An Automatic Question Answerer, Proceedings of the Western Joint Computer Conference, 19:219-224, 1961. -- Matt Mahoney, [EMAIL PROTECTED] ------------------------------------------- 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=95818715-a78a9b Powered by Listbox: http://www.listbox.com
