Path: utzoo!utgpu!water!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!bloom-beacon!arthur.UUCP!daryl From: daryl@arthur.UUCP (Daryl McLaurine) Newsgroups: comp.ai.digest Subject: Re: Grand Challenges Message-ID: <19880927032337.2.NICK@INTERLAKEN.LCS.MIT.EDU> Date: 27 Sep 88 03:23:00 GMT Sender: daemon@bloom-beacon.MIT.EDU Organization: The Internet Lines: 58 Approved: ailist@ai.ai.mit.edu ---- Forwarded Message Follows ---- Return-path: <@AI.AI.MIT.EDU:ailist-request@AI.AI.MIT.EDU> Received: from AI.AI.MIT.EDU by ZERMATT.LCS.MIT.EDU via CHAOS with SMTP id 196570; 24 Sep 88 14:48:06 EDT Received: from BLOOM-BEACON.MIT.EDU (TCP 2224000021) by AI.AI.MIT.EDU 24 Sep 88 14:55:37 EDT Received: by BLOOM-BEACON.MIT.EDU with sendmail-5.59/4.7 id; Sat, 24 Sep 88 14:29:00 EDT Received: from USENET by bloom-beacon.mit.edu with netnews for ailist@ai.ai.mit.edu (ailist@ai.ai.mit.edu) (contact usenet@bloom-beacon.mit.edu if you have questions) Date: 24 Sep 88 17:53:11 GMT From: ncar!tank!arthur!daryl@gatech.edu (Daryl McLaurine) Organization: Dept. of Mathematics, University of Chicago Subject: Re: Grand Challenges Message-Id: <178@tank.uchicago.edu> References: <123@feedme.UUCP>, <266@uceng.UC.EDU> Sender: ailist-request@ai.ai.mit.edu To: ailist@ai.ai.mit.edu On "Human Knowledge"... I am one of many people who makes a living by generation solutions to complex problems or tasks in a specific field by understanding the relationships between my field and many 'unrelated' fields of study. As the complexety of today's world increases, The realm of "Human Knowledge" cannot remain 'monolithic', to solve many problems, _especialy_ in AI, one must acquire the feel of the dynamic 'flow' of human experence and sense the conectives within. Few people are adept at this, and the ones who are, ether become _the_ leading edge of their field, or are called opon to consult for others by acting as that mythical construct that will 'understand' human experence on demand. In my field, both acedemic and profesinal, I strive to make systems that will acquire knowledge and make ,_AT BEST_, moderately simple corrila- tions in data that may point to solutions to a specified task. It is still the realm of the Human Investigator to take these suggestions and make a compl- ete analysis of them by drawing on his/her(?) own heurestic capability to arive at a solution. To this date, the most advanced construct I have seen, only does a type of informational investigative 'leg work', and rarly can it corr- alate facts that seem to be unrelated, but may actualy be ontological. (But, I am working on it ;-} ) It is true that the computer model of what we do would be more effective for a research investigator, but the point to which we can program 'intuituitive knoledge' beyond simple relationships in pattern recognition is far off. The human in this equasionis still an unknown factor to itself (can YOU tell me how you think, and if you can, there are MANY cognitive sci. people [psycologists, AI researchers, etc] who want to talk to you...), and until we can solve the grand chalenge of knowing ourselves, our creations are little more than idiot savants (and bloody expencive ones at that!) -kill me, not my clients (Translated from the legalese...) ^ <{[-]}>----------------------------------------------------------------------- V Daryl McLaurine, Programmer/Analyst (Consultant) | Contact: | Home: 1-312-955-2803 (Voice M-F 7pm/1am) | Office: Computer Innovations 1-312-663-5930 (Voice M-F 9am/5pm) | daryl@arthur (or zaphod,daisy,neuro,zem,beeblebrox) .UChicago.edu ==\*/=========================================================================