On 8/15/08, rick the ponderer <[EMAIL PROTECTED]> wrote: > > > > On 8/13/08, Jim Bromer <[EMAIL PROTECTED]> wrote: >> >> On Wed, Aug 13, 2008 at 4:14 AM, rick the ponderer <[EMAIL PROTECTED]> >> wrote: >> > >> > Thanks for replying YKY >> > Is the logic learning you are talking about inductive logic programming. >> If >> > so, isn't ilp basically a search through the space of logic programs (i >> may >> > be way off the mark here!), wouldn't it be too large of a search space >> to >> > explore if you're trying reach agi. >> > >> > And if you're determined to learn a symbolic representation, wouldn't >> > genetic programming be a better choice, since it won't get stuck in >> local >> > minima. >> >> >> There is no reason why symbolic reasoning could not incorporate some >> kind of random combinatoric search methods like those used in GA >> searches. Categorical imagination can be used to examine the possible >> creation of new categories; the method does not have to be limited to >> the examination of new combinations of previously derived categories. >> And it does not have to be limited to incremental methods either. >> >> For example, the method might be used to combine fragments of surface >> features observed in the IO data environment. Combinatoric search can >> be also used with the creation and consideration of conjectures about >> possible explanations of observed data events. One of the most >> important aspects of these kinds of searches is that they can be used >> in serendipitous methods to detect combinations or conjectures that >> might be useful in some other problem even when they don't solve the >> current search goal that they were created for. >> >> While discussions about these subjects must utilize some traditional >> frames of reference, the conventions of their use in conversation >> should not be considered as absolute limitations on their possible >> modifications. They can be used as starting points of further >> conversation. YKY's and Ben Goetzel's recent comments sound as if >> they are referring to strictly predefined categories when they talk >> about symbolic methods, but I would be amazed if that represents their >> ultimate goals in AI research. >> >> Similarly, other unconventional methods can be considered when >> thinking about ANN's and GA's, but I think that novel approaches to >> symbolic methods offers the best bet for some of the same reasons >> that YKY mentioned. >> >> 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/?&; >> Powered by Listbox: http://www.listbox.com >> > " > For example, the method might be used to combine fragments of surface > features observed in the IO data environment. Combinatoric search can > be also used with the creation and consideration of conjectures about > possible explanations of observed data events. One of the most > important aspects of these kinds of searches is that they can be used > in serendipitous methods to detect combinations or conjectures that > might be useful in some other problem even when they don't solve the > current search goal that they were created for. > " > Is that any different to clustering? > where you talk about discovering new categories from IO data.
------------------------------------------- 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=111637683-c8fa51 Powered by Listbox: http://www.listbox.com
