Talking on a very abstract level, MOSES could be ultimately developed so that it explores what you could call "constraint relaxation strategies"; combo trees are built such that they meet the constraints "optimally" with more-or-less random exploration of different trade-offs. Pure MOSES (current) starts with no knowledge and learns along the way, you could also call the knowledge learned "constraints", especially once it would be expressed in "transfer-friendly" declarative way.
"Everything is a constraint." On Wed, Dec 17, 2008 at 4:23 PM, Ed Porter <[email protected]> wrote: > > My point was the parallel constraint relaxation would appear able to be used > much like a genetic algorithm, except that in a Novamente system it would > have the ability to take advantage of much of the relevant world knowledge, > and knowledge about how to best reason from world knowledge, that was > contained in hypergraph, when proposing solutions. > > > > Your acknowledgement that in WebMind the hypergraph was used without MOSES, > implies you agreement that the hypergraph could be used for exploring a > possible solution space to various problems, and doing creative thinking. > > > > My REAL main point, was that from my reading about Combo and MOSES in your > 2007 Novamente book, and from reading one of Moshe's long papers about it, > MOSES seem to take to little advantage of all the rich, complex hierarchical > and generalization knowledge contained in the hypergraph --- although it was > clear to me that their would be ways in which it could be modified to do > so. > > ------------------------------------------- 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=123753653-47f84b Powered by Listbox: http://www.listbox.com
