The Web site of David Jones at http://practicalai.org
is quite impressive to me as a kindred spirit building AGI. (Just today I have been coding MindForth AGI :-) For his "Practical AI Challenge" or similar ventures, I would hope that David Jones is open to the idea of aggregating or archiving "representative AI samples" from such sources as - TexAI; - OpenCog; - Mentifex AI; - etc.; so that visitors to PracticalAI may gain an overview of what is happening in our field. Arthur -- http://www.scn.org/~mentifex/AiMind.html http://www.scn.org/~mentifex/mindforth.txt > >lol. thanks Jim :) > > >On Thu, Jul 22, 2010 at 10:08 PM, Jim Bromer <jimbro...@gmail.com> wrote: > >> I have to say that I am proud of David Jone's efforts. He has really >> matured during these last few months. I'm kidding but I really do respect >> the fact that he is actively experimenting. I want to get back to work on >> my artificial imagination and image analysis programs - if I can ever figure >> out how to get the time. >> >> As I have read David's comments, I realize that we need to really leverage >> all sorts of cruddy data in order to make good agi. But since that kind of >> thing doesn't work with sparse knowledge, it seems that the only way it >> could work is with extensive knowledge about a wide range of situations, >> like the knowledge gained from a vast variety of experiences. This >> conjecture makes some sense because if wide ranging knowledge could be kept >> in superficial stores where it could be accessed quickly and economically, >> it could be used efficiently in (conceptual) model fitting. However, as >> knowledge becomes too extensive it might become too unwieldy to find what is >> needed for a particular situation. At this point indexing becomes necessary >> with cross-indexing references to different knowledge based on similarities >> and commonalities of employment. >> >> Here I am saying that relevant knowledge based on previous learning might >> not have to be totally relevant to a situation as long as it could be used >> to run during an ongoing situation. From this perspective >> then, knowledge from a wide variety of experiences should actually be >> composed of reactions on different conceptual levels. Then as a piece of >> knowledge is brought into play for an ongoing situation, those levels that >> seem best suited to deal with the situation could be promoted quickly as the >> situation unfolds, acting like an automated indexing system into other >> knowledge relevant to the situation. So the ongoing process of trying to >> determine what is going on and what actions should be made would >> simultaneously act like an automated index to find better knowledge more >> suited for the situation. >> Jim Bromer ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=8660244-6e7fb59c Powered by Listbox: http://www.listbox.com
