Path: utzoo!news-server.csri.toronto.edu!cs.utexas.edu!sun-barr!apple!agate!darkstar!secs.ucsc.edu!wipke From: wipke@secs.ucsc.edu Newsgroups: comp.ai Subject: RE: AI genealogy Message-ID: <13MAR91.13190816@secs.ucsc.edu> Date: 13 Mar 91 13:19:08 GMT References: <2571@enuxha.eas.asu.edu> Sender: usenet@darkstar.ucsc.edu Organization: UCSC Molecular Engineering Laboratory Lines: 14 We talk about not reinventing the wheel, but even today, engineers are still perfecting the wheel (automotive-lower rolling friction, lower noise, more cooling for brakes, style, traction, etc.). Since so few AI projects ever get to a "performance" stage, many good wheels have only been talked about, or suggested, but never demonstrated in a performance fashion. I like Brooks' approach, there is a performance to observe. Regarding the genealogy of AI, I suspect that the performance systems that operate in applied fields like chemistry will not be covered because there is no blood link via Ph.D. lineage to "pure" AI ancestors except in a few cases. wipke@secs.ucsc.edu 25th anniversary of UCSC, where innovation is a tradition.