On Dec 3, 2007 5:07 PM, Matt Mahoney <[EMAIL PROTECTED]> wrote: > When a user asks a question or posts information, the message would be > broadcast to many nodes, which could choose to ignore them or relay them to > other nodes that it believes would find the message more relevant. Eventually > the message gets to a number of experts, who then reply to the message. The > source and destination nodes would then update their links to each other, > replacing the least recently used links.
> I wrote my thesis on the question of whether such a system would scale to a > large, unreliable network. (Short answer: yes). > http://cs.fit.edu/~mmahoney/thesis.html > > Implementation detail: how to make a P2P client useful enough that people will > want to install it? That sounds almost word-for-word like something I was visualizing (though not producing as a thesis) I believe the next step of such a system is to become an abstraction between the user and the network they're using. So if you can hook into your P2P network via a firefox extension, (consider StumbleUpon or Greasemonkey) so it (the agent) can passively monitor your web interaction - then it could be learn to screen emails (for example) or pre-chew either your first 10 google hits or summarize the next 100 for relevance. I have been told that by the time you have an agent doing this well, you'd already have AGI - but i can't believe this kind of data mining is beyond narrow AI (or requires fully general adaptive intelligence) Maybe when I get around to the Science part of my BS degree (after the Arts filler) I will explore to a greater depth for a thesis. ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=8660244&id_secret=71648663-f0a7ee
