From fuzzy-mail@vexpert.dbai.tuwien.ac.at Tue Oct 19 10:43:11 EDT 1993 Article: 1287 of comp.ai.fuzzy Xref: crabapple.srv.cs.cmu.edu comp.ai.fuzzy:1287 Path: crabapple.srv.cs.cmu.edu!honeydew.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!howland.reston.ans.net!europa.eng.gtefsd.com!uunet!news.univie.ac.at!email.tuwien.ac.at!fuzzy-mail@vexpert.dbai.tuwien.ac.at From: "Thomas L. Ward" Newsgroups: comp.ai.fuzzy Subject: Second Call for Papers Date: 16 Oct 1993 11:22:00 GMT Organization: Technical University of Vienna, Information Systems Department Lines: 124 Sender: fuzzy-mail@vexpert.dbai.tuwien.ac.at Distribution: world Message-ID: <199310151427.AA28197@vexpert> Reply-To: fuzzy-mail@vexpert.dbai.tuwien.ac.at NNTP-Posting-Host: vexpert.dbai.tuwien.ac.at Originator: fuzzy-mail@vexpert.dbai.tuwien.ac.at Originator: server@vexpert SECOND CALL FOR PAPERS THIRD INTERNATIONAL FUZZY SYSTEMS AND INTELLIGENT CONTROL CONFERENCE Louisville KY USA 14-16 March 1994 This conference is devoted primarily to computer based feedback control systems that rely on fuzzy logic, neural network theory, probabilistic reasoning techniques, genetic algorithms, chaos theory, learning theory, and other soft computing and artificial intelligence techniques. The theme of this year's conference is "Industrial Applications of Soft Computing." In an abstract of a paper on soft computing, Lotfi Zadeh wrote: The past few years have witnessed a rapid growth of interest in novel modes of computation which are collectively referred to as soft computing. The distinguishing characteristic of soft computing is that its primary aim is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low cost. Thus, in soft computing what is usually sought is an approximate solution to a precisely formulated problem or, more typically, an approximate solution to an imprecisely formulated problem. A simple case in point is the problem of parking a car. Generally, a car can be parked rather easily because the final position of the car is not specified exactly. If it were specified to within, say, a fraction of a millimeter and a few seconds of arc, it would take hours or days of maneuvering and precise measurements of distance and angular position to solve the problem. What this simple example points to is the fact that, in general, high precision carries a high cost. The challenge, then, is to exploit the tolerance for imprecision by devising methods of computation which lead to an acceptable solution at low cost. This, in essence, is the guiding principle of soft computing. At this juncture, the major components of soft computing are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning techniques (PR), including genetic algorithms, chaos theory and parts of learning theory. It may be argued that it is soft computing - rather than hard computing - that should be viewed as the foundation for artificial intelligence. In the years ahead, this may well become a widely held position. Some of the areas of interest include, but are not limited to, the following: Adaptive vector quantization Modeling Chaos theory Neural control Differential competitive learning Neuro-fuzzy control Expert control Operating experience Fuzzy control Process control Genetic algorithm control Rule completeness Geno-fuzzy control Rule consistency Identification Rule interaction Implementation Self-organizing controllers Learning theory Soft computing Machine learning Soft computing for control Membership function elicitation Statistical process control Membership function scaling Time series This conference is sponsored by the Institution for Fuzzy Systems and Intelligent Control. ORGANIZING COMMITTEE Honorary Chair: Lotfi A. Zadeh Local Chairs: Waldemar Karwowski Patricia A. S. Ralston Thomas L. Ward International Program Advisory Board: James C. Bezdek Charles L. Karr Elie Sanchez Piero Bonissone Arnold Kaufmann Philippe Smets Christer Carlsson George Klir Alice E. Smith Augustine O. Esogbue R. Lowen Hideo Tanaka Donald R. Jones E. H. Mamdani Enric Trillas Siegfried Gottwald Masaharu Mizumoto Tibor Vamos William A. Gruver Rammohan K. Ragade Jonathan Weiss Mohammad Jamshidi Dan Ralescu C. K. Wong Deng Julong Dan B. Rinks R. R. Yager CALL FOR PAPERS Papers selected for presentation will be published in a PROCEEDINGS to be distributed at the conference. Three copies of an abstract (in English) of about 300 words should be submitted by 31 October 1993. Please include title, author(s) name(s), affiliation(s), and address of person to whom correspondence should be directed. FAX and e-mail submissions of abstracts are acceptable. Please send abstracts prior to 31 October 1993 to Prof. Patricia A. S. Ralston Engineering Mathematics and Computer Science University of Louisville Louisville KY 40292 USA Telephone: 502-588-0479 Fax: 502-852-4713 Bitnet: PARals01@ULKYVM.BITNET Internet: PARals01@ulkyvm.louisville.edu Authors will be notified of acceptance by 15 November 1993. Full camera ready papers will be due by 15 January 1994. For additional information regarding the 3rd IFSICC, please contact Prof. Thomas L. Ward Industrial Engineering University of Louisville Louisville KY 40292 USA Telephone: 502-588-6342 Fax: 502-588-5633 Bitnet: TLWard01@ULKYVM.BITNET Internet: TLWard01@ulkyvm.louisville.edu