Symposium at EMCSR'96

[Martin Lorenz]

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		Artificial Neural Networks and Adaptive
				Systems

			   A symposium at the
=====================================================================
				EMCSR'96 

			   April 9 -12, 1996

	                 University of Vienna

      organized by the Austrian Society for Cybernetic Studies
                          in cooperation with
   Dept.of Medical Cybernetics and Artificial Intelligence, Univ.of
	                       Vienna
	                         and
	         International Federation for Systems Research 
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chairs: Guenter Palm, Germany, and Georg Dorffner, Austria 

For this symposium, papers on any theoretical or practical aspect of
artificial neural networks have been 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. We make 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. incremental
learning in unstationary environments. 

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				PROGRAM
				=======

TUESDAY, April 9, p.m., Room 47

14.00-14.30 
     Statistical Evaluation of Neural Network Experiments:
     Minimum Requirements and Current Practice
     A.Flexer, Austrian Research Institute for Artificial
     Intelligence, Vienna, Austria 
14.30-15.00 
     Adaptive Analysis and Visualization in High Dimensional
     Data Spaces
     G.Palm, F.Schwenker, University of Ulm, Germany 
15.00-15.30 
     Adaptive Learning Algorithm for Principal Component
     Analysis with Partial Data
     A.Cichocki, W.Kasprzak, W.Skarbek, Frontier Lab, RIKEN,
     Wako, Saitama, Japan 
15.30-16.00
     Coffee Break
16.00-16.30 
     Reinforcement Learning for Cybernetic Control
     M.Pendrith, M.Ryan, A.Hoffmann, University of New South
     Wales, Sydney, Australia 
16.30-17.00 
     A Neural Circuit to Handle Passive Extinction in
     Conditioned Reinforcement Learning
     A.Glksz, U.Halici, Middle East Technical University,
     Ankara, Turkey 
17.00-17.30 
     Truncated Temporal Differences with Function
     Approximation: Successful Examples Using CMAC
     P.Cichosz, Warsaw University of Technology, Poland 
17.30-18.00 
     Adaptive Classification in Autonomous Agents
     C.Scheier, D.Lambrinos, University of Zurich, Switzerland 

WEDNESDAY, April 10, a.m., Room 47

11.00-11.30 
     A Study of the Adaptation of Learning Rule Parameters
     Using a Meta Neural Network
     C.McCormack, University College Cork, Ireland 
11.30-12.00 
     Lower Bounds on Identification Criteria for Perceptron-like
     Learning Rules
     M.Schmitt, Technical University of Graz, Austria 
12.00-12.30 
     Learning to Control Dynamic Systems
     M.Riedmiller, University of Karlsruhe, Germany 
12.30-13.00 
     Neuronal Adaptivity and Network Fault-Tolerance
     D.Horn, N.Levy, E.Ruppin, Tel-Aviv University, Israel 

WEDNESDAY, April 10, p.m., Room 47

14.00-14.30 
     Tracking of Non-Stationary Time-Series Using
     Resource-Allocating RBF Networks
     A.McLachlan, D.Lowe, Aston University, United Kingdom 
14.30-15.00 
     Neural Networks: Do They Really Outperform Linear
     Models? Exchange Rate Forecasting Using Weekly Data
     T.H.Hann, University of Karlsruhe, Germany 
15.00-15.30 
     Hippocampal Two-Stage Learning and Memory
     Consolidation
     A.Bibbig, T.Wennekers, University of Ulm, Germany 
15.30-16.00
     Coffee Break
16.00-16.30 
     Analog Computations with Mapped Neural Fields
     A.Schierwagen, H.Werner, University of Leipzig, Germany 
16.30-17.00 
     The Role of Reinforcement in a Reading Model
     H.Ruellan, LIMSI/CNRS, Orsay, France 
17.00-17.30 
     Quasi Mental Clusters: A Neural Model of Knowledge
     Discovery in Narrative Texts
     S.W.K.Chan, J.Franklin, University of New South Wales,
     Sydney, Australia 

THURSDAY, April 11, a.m., Room 47

9.00-9.30 
     An Application of the Saturated Attractor Analysis to Three
     Typical Models
     J. Feng, B. Tirozzi, University of Munich, Germany 
9.30-10.00 
     On a New Gauge-Theoretical Framework for Controlling
     Neural Network Dynamics
     E.Pessa, G.Resconi, Universita Cattolica del Sacro Cuore,
     Brescia, Italy 
10.00-10.30 
     Investigation of the Attractor Structure in the Continuous
     Hopfield Model
     S.Amin, BT Laboratories, Ipswich, United Kingdom 

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the complete program of EMCSR'96 can be found at

http://www.ai.univie.ac.at/emcsr/
=================================

Secretariat
===========

I. Ghobrial-Willmann and 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 

--

                          Martin "Lolly" Lorenz
       _/_/      _/_/_/        
      _/ _/    _/ _/_/  Austrian Research Institute for AI (OFAI)
     _/  _/  _/  _/_/  Tel.:+43-1-535 32 810
    _/   _/_/   _/_/  martinl at ai.univie.ac.at
   _/          _/_/  http://www.ai.univie.ac.at/~martinl/
  _/          _/_/             _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
 _/          _/_/_/_/_/_/     _/ imagine there is a war   _/
~~~~~~~~~~~~~~~~~~~~~~~      _/ and nobody joins it...   _/
~I have a dream...    ~     _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
~that people will live~
~together in freedom  ~	    public PGP-key avail. at 
~and peace.           ~     http://www.nic.surfnet.nl/pgp/
~~~~~~~~~~~~~~~~~~~~~~~