Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!linus!security!genrad!grkermit!masscomp!clyde!akgua!sb1!sb6!bpa!burdvax!presby!seismo!hao!hplabs!sri-unix!WILKINS@SRI-AI.ARPA From: WILKINS@SRI-AI.ARPA Newsgroups: net.ai Subject: why AI is hard to read Message-ID: <14074@sri-arpa.UUCP> Date: Wed, 23-Nov-83 17:38:38 EST Article-I.D.: sri-arpa.14074 Posted: Wed Nov 23 17:38:38 1983 Date-Received: Thu, 1-Dec-83 03:25:22 EST Lines: 11 From: Wilkins There is one reason much AI literature is hard to read. It is common for authors to invent a whole new set of jargon to describe their system, instead of desribing it in some common language (e.g., first order logic) or relating it to previous well-understood systems or principles. In recent years there has been an increased awareness of this problem, and hopefully things are improving and will continue to do so. There are also a lot more submissions now to IJCAI, etc, so higher standards end up being applied. Keep truckin' David Wilkins