CFP: NN and Adaptive Systems

[Georg Dorffner]

CALL FOR PAPERS

                               for the symposium

             ======================================================
                Artificial Neural Networks and Adaptive Systems
             ======================================================

       chairs: Horst-Michael Gross, Germany, and Georg Dorffner, Austria

                                 as part of the
        Fourteenth European Meeting on Cybernetics and Systems Research

                               April 14-17, 1998
                             University of Vienna,
                                Vienna, Austria


        For this symposium,  papers  on  any  theoretical  or  practical
        aspect of artificial neural networks are invited. Special focus,
        however, will  be  put  on  the  issue  of  adaptivity  both  in
        practical engineering applications and in applications of neural
        networks to the modeling of human behavior.   By  adaptivity  we
        mean  the  capability  of  a  neural network to adjust itself to
        changing environments.  For this, a careful distinction  between
        "learning" to devise weight matrices for a neural network before
        it is applied (and usually left  unchanged)  on  one  hand,  and
        "true"  adaptivity  of  a  given  neural  network  to constantly
        changing conditions on the other hand - i.e. real-time  learning
        in unstationary environments - is made.  The following is a - by
        no means exhaustive - list of possible topics in this realm:

          - online learning of neural network applications facing
            changing data distributions
          - transfer of neural network solutions to
            related but different domains
          - application of neural networks for
            adaptive autonomous systems
          - "phylogenetic" vs. "ontogenetic" adaptivity
            (e.g. adaptivity of connectivity and architecture vs.
             adaptivity of coupling parameters or weights)
          - short term vs. long term adaptation
          - adaptive reinforcement learning
          - adaptive pattern recognition
          - localized vs. distributed approximation (in terms of
            overlap of decision regions) and adaptivity

        Preference will be given  to  contributions  that  address  such
        issues  of  adaptivity,  but  -  as  mentioned initially - other
        original work on neural newtorks is also welcome.

	Deadline for submissions (10 single-spaced A4 pages, maximum  43 
	lines, max. line length 160 mm, 12 point) is

		===============================================
			       October 26, 1997
		===============================================

        (Note that this deadline has been extended  w.r.t. the  original 
        EMCSR deadline)

	Papers should be sent to:

	I. Ghobrial-Willmann or G. Helscher 
	Austrian Society for Cybernetic Studies
	A-1010 Vienna 1, Schottengasse 3 (Austria)
	Phone: +43-1-53532810
	Fax: +43-1-5320652
	E-mail: sec at ai.univie.ac.at 


	For more information on the whole EMCSR conference, see the 
	Web-page http://www.ai.univie.ac.at/emcsr/ or contact the above 
	address.


                          !Hope to see you in Vienna!