> > > On 10/5/08, Ben Goertzel <[EMAIL PROTECTED]> wrote: > >> >> Hmmm ... I doubt that a quick and dirty nontechnical >> > > I would think that it should be technical, e.g. targeted for someone with a > CS degree, but written as though the reader had never heard of OpenCog. >
There are already several academic conference papers that overview the Novamente Cognition Engine, which are at novamente.net/papers ... e.g. "Patterns, Hypergraphs and General Intelligence" At the level of abstraction dealt with in such a paper, the NCE is about the same as OpenCog, so I suppose those serve for exposition at that level These papers are referenced at the start of the OpenCogPrime wikibook, which is on the OpenCog wiki site > > > >> wiki page on opencogprime would help anyone much ... a decent nontechnical >> exposition of the ideas would require a lot of legwork in terms of >> presenting background material >> > > Hasn't someone else done this on a web page somewhere that you could > provide a hyperlink to? > No, there are no nice semi-technical expositions of such topics as probabilistic logic or estimation-of-distribution algorithms out there, for example. > > > >> and clarifying preliminary terms and ideas ... >> > > You just need a BIG glossary. > yes, that is definitely true and has been on the todo list for a while... > > > >> without that, discussion just bogs down on preliminary points and never >> even gets to the main unique aspects of the design (which is what usually >> happens in discussions of the design on this list ;-) >> > > Exactly my point. Just provide some good references, write a comprehensive > glossary (note that it is OK to include phrases as well as words in your > glossary), and add to it as necessary, and just refer "preliminary point" > queries to the appropriate reference or glossary entry. In addition to doing > a better job of working together, I suspect that this would actually be less > work for you than the current process is. > > All this is already done except the glossary > BTW, my own thought is that nearly every part of AI is initially oversold, > falls short of its goals, but eventually finds a useful niche. > Yes, that has happened in the past, but that doesn't imply it is intrinsically the fate of AGI projects... I began my journey into AGI by trying to arrive at a correct, comprehensive holistic overview of how the mind works. See my 2006 book "The Hidden Pattern." Most attempts at AGI have not begun this way, but have rather begun with some particular technical trick that the inventor believed to have more power than it really did... -- Ben G ------------------------------------------- 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=114414975-3c8e69 Powered by Listbox: http://www.listbox.com
