Hi Ed, As most already know, the problem I am trying to solve involves knowledge and skill acquisition to achieve AGI. The proposed solution is a bootstrap English dialog system, backed by a knowledge base based upon OpenCyc and greatly elaborated with lexical information from WordNet, Wiktionary, and The CMU Pronouncing Dictionary. A multitude of volunteers would subsequently mentor the many agents that will comprise Texai.
At some point, the various cognitive architectures you mentioned will achive natural language capability, so perhaps my approach is subsumed by them. But my focus is on implementing this capability before any other, with the hope that it is optimal with respect to minimizing the amount of programming that I alone should perform. -Steve Stephen L. Reed Artificial Intelligence Researcher http://texai.org/blog http://texai.org 3008 Oak Crest Ave. Austin, Texas, USA 78704 512.791.7860 ----- Original Message ---- From: Ed Porter <[EMAIL PROTECTED]> To: agi@v2.listbox.com Sent: Saturday, April 19, 2008 10:35:43 AM Subject: [agi] WHAT ARE THE MISSING CONCEPTUAL PIECES IN AGI? WHAT ARE THE MISSING CONCEPTUAL PIECES IN AGI? With the work done by Goertzel et al, Pei, Joscha Bach <http://www.micropsi.org/> , Sam Adams, and others who spoke at AGI 2008, I feel we pretty much conceptually understand how build powerful AGI's. I'm not necessarily saying we know all the pieces of the puzzle, but rather that we know enough to start building impressive intelligences, and once we build them we will be in a much better position to find out what are the other missing conceptual pieces of the puzzle--- if any. As I see it --- the major problem is in selecting from all we know, the parts necessary to build a powerful artificial mind, at the scale needed, in a way that works together well, efficiently, and automatically. This would include a lot of parameter tuning and determining of which competing techniques for accomplishing the same end are most efficient at the scale and in the context needed. But I don't see any major aspects of the problem that we don't already have what appear to be good ways for addressing, once we have all the pieces put together. I ASSUME --- HOWEVER --- THERE ARE AT LEAST SOME SUCH MISSING CONCEPTUAL PARTS OF THE PUZZLE --- AND I AM JUST FAILING TO SEE THEM. I would appreciate it if those on this list could point out what significant conceptual aspect of the AGI problem are not dealt with by a reasonable synthesis drawn from works like that of Goertzel et al., Pei Wang, Joscha Bach, and Stan Franklin --- other than the problems acknowledge above IT WOULD BE VALUABLE TO HAVE A DISCUSSION OF --- AND MAKE A LIST OF --- WHAT --- IF ANY --- MISSING CONCEPTUAL PIECES EXIST IN AGI. If there are any such good list, please provide pointers to them. I WILL CREATE A SUMMARIZED LIST OF ALL THE SIGNIFICANT MISSING PIECES OF THE AGI PUZZLE THAT ARE SENT TO THE AGI LIST UNDER THIS THREAD NAME, WITH THE PERSON SENDING EACH SUCH SUGGESTION WITH THE DATE OF THEIR POST IF IT CONTAINS VALUABLE DESCRIPTION OF THE UNSOLVED PROBLEM INVOLVED NOT CONTAINED IN MY SUMMARY --- AND I WILL POST IT BACK TO THE LIST. I WILL TRY TO COMBINE SIMILAR SUGGESTIONS WERE POSSIBLE TO MAKE THE LIST MORE CONCISE AND FOCUSED For purposes of creating this list of missing conceptual issues --- let us assume we have very powerful hardware --- but hardware that is realistic within at least a decade (1). Let us also assume we have a good massively parallel OS and programming language to realize our AGI concepts on such hardware. We do this to remove the absolute barriers to human-level intelligent created by the limited hardware current AGI scientists have to work with and to allow a systems to have the depth of representation and degree of massively parallel inference necessary for human-level thought. ------------------------------------------ (1) Let us say the hardware has 100TB of RAM --- and theoretical values of 1000TOpp/sec --- 1000T random memory read or writes/sec -- and an X-sectional band of 1T 64Byte Messages/ sec (with the total number of such messages per second going up, the shorter the distance they travel within the 100T memory space). Assume in addition a tree net for global broadcast and global math and control functions with a total latency to and from the entire 100TBytes of several micro seconds. In Ten years such hardware may sell for under two million dollars. It is probably more than is needed for human level AGI, but it gives us room to be inefficient, and significantly frees us from having to think compulsively about locality of memory. ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?&; Powered by Listbox: http://www.listbox.com ____________________________________________________________________________________ Be a better friend, newshound, and know-it-all with Yahoo! Mobile. Try it now. http://mobile.yahoo.com/;_ylt=Ahu06i62sR8HDtDypao8Wcj9tAcJ ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=101455710-f059c4 Powered by Listbox: http://www.listbox.com
