Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!rutgers!rochester!PT.CS.CMU.EDU!SPEECH2.CS.CMU.EDU!kfl From: kfl@SPEECH2.CS.CMU.EDU (Kai-Fu Lee) Newsgroups: comp.ai Subject: Re: Practical effects of AI (speech) Message-ID: <354@PT.CS.CMU.EDU> Date: Mon, 16-Nov-87 12:43:50 EST Article-I.D.: PT.354 Posted: Mon Nov 16 12:43:50 1987 Date-Received: Wed, 18-Nov-87 04:05:55 EST References: <12@gollum.Columbia.NCR.COM> <267@PT.CS.CMU.EDU> <244@usl-pc.UUCP> Sender: netnews@PT.CS.CMU.EDU Organization: Carnegie-Mellon University, CS/RI Lines: 21 Keywords: ai future effects In article <244@usl-pc.UUCP>, jpdres10@usl-pc.UUCP (Green Eric Lee) writes: > But seriously, considering that sciences such as physics and > mathematics have been ongoing for centuries, can we REALLY say that AI > has "traditional techniques"? . . . "it is far from clear that it > would be an advancement for AI" presupposes that one defines AI as > "that science which uses certain traditional methods", which, I > submit, is false. > By "traditional techniques", I was referring to the older popular techniques in AI, such as expert systems, predicate calculus, semantic networks, etc. Also, I was trying to exclude neural networks, which may be promising for speech recognition. I have heard of "traditionalist vs. connectionist AI", and that is why I used the term "traditional techniques". Kai-Fu Lee Computer Science Dept. Carnegie-Mellon University P.S. - I did not say that AI is a science.