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Preliminary Announcement and First Call for Papers
IWANN'97
INTERNATIONAL WORK-CONFERENCE
ON
ARTIFICIAL AND NATURAL NEURAL NETWORKS
Biological and Artificial Architectures, Technologies and =
Applications
Lanzarote - Canary Islands, Spain
June 4-6, 1997
Contact URL http://petrus.upc.es/iwann97.html for an on line =
information.
ORGANIZED BY
Universidad Nacional de Educacion a Distancia (UNED), Madrid
Universidad de Las Palmas de Gran Canarias=20
Universidad Politecnica de Catalunya
Universidad de Malaga
Universidad de Granada
IWANN'97. The fourth International Workshop on Artificial Neural =
Networks, now changed to International Work-Conference on Artificial and =
Natural Neural Networks, will take place in Lanzarote, Canary Islands =
(Spain) from 4 to 6 of June, 1997. This biennial meeting with focus on =
biologically inspired and more realistic models of natural neurons and =
neural nets and new hybrid computing paradigms, was first held in =
Granada (1991), Sitges (1993) and Torremolinos, Malaga (1995) with a =
growing number of participants from more than 20 countries and with high =
quality papers published by Springer-Verlag (LNCS 540, 686 and 930).
SCOPE
Neural computation is considered here in the dual perspective of =
analysis (as science) and synthesis (as engineering). As a science of =
analysis, neural computation seeks to help neurology, brain theory, and =
cognitive psychology in the understanding of the functioning of the =
Nervous Systems by means of computational models of neurons, neural nets =
and subcelular processes, with the possibility of using electronics and =
computers as a "laboratory" in which cognitive processes can be =
simulated and hypothesis proven without having to act directly upon =
living beings.
As a synthesis engineering, neural computation seeks to complement the =
symbolic perspective of Artificial Intelligence (AI), using the =
biologically inspired models of distributed, self-programming and =
self-organizing networks, to solve those non-algorithmic problems of =
function approximation and pattern classification having to do with =
changing and only partially known environments. Fault tolerance and =
dynamic reconfiguration are other basic advantages of neural nets.
In the sea of meetings, congresses and workshops on ANN's, IWANN'97 =
focus on the three subjects that most worry us:
(1) The seeking of biologically inspired new models of local computation =
architectures and learning along with the organizational principles =
behind of the complexity of intelligent behavior.
(2) The searching for some methodological contributions in the analysis =
and design of knowledge-based ANN's, instead of "blind nets", and in the =
reduction of the knowledge level to the sub-symbolic implementation =
level.
(3) The cooperation with symbolic AI, with the integration of =
connectionist and symbolic processing in hybrid and multi-strategy =
approaches for perception, decision and control tasks, as well as for =
case-based reasoning, concepts formation and learning.
To contribute in the posing and partially solving of these global =
topics, IWANN'97 offer a brain-storming interdisciplinary forum in =
advanced Neural Computation for scientists and engineers from biology =
neuroanatomy, computational neurophysiology, molecular biology, =
biophysics, linguistics, psychology, mathematics and physics, computer =
science, artificial intelligence, parallel computing, analog and digital =
electronics, advanced computer architectures, reverse engineering, =
cognitive sciences and all the concerned applied domains (sensory =
systems and signal processing, monitoring, diagnosis, classification and =
decision making, intelligent control and supervision, perceptual =
robotics and communication systems).
Contributions on the following and related topics are welcome.
TOPICS
1. Biological Foundations of Neural Computation: Principles of brain =
organization. Neuroanatomy and Neurophysiological of synapses, =
dendro-dendritic contacts, neurons and neural nets in peripheral and =
central areas. Plasticity, learning and memory in natural neural nets. =
Models of development and evolution. The computational perspective in =
Neuroscience.
2. Formal Tools and Computational Models of Neurons and Neural Nets =
Architectures: Analytic and logic models. Object oriented formulations. =
Hybrid knowledge representation and inference tools (rules and frames =
with analytic slots). Probabilistic, bayesian and fuzzy models. Energy =
related models.
3. Plasticity Phenomena (Maturing, Learning and Memory): Biological =
mechanisms of learning and memory. Computational formulations using =
correlational, reinforcement and minimization strategies. Conditioned =
reflex and associative mechanisms. Inductive-deductive and abductive =
symbolic-subsymbolic formulations. Generalization.
4. Complex Systems Dynamics: Self-organization, cooperative processes, =
autopoiesis, emergent computation, synergetic, evolutive optimization =
and genetic algorithms. Self-reproducing nets. Self-organizing feature =
maps. Simulated evolution. Social organization phenomena.
5. Cognitive Science and IA: Hybrid knowledge based system. Neural =
networks for knowledge modeling, acquisition and refinement. Natural =
language understanding. Concepts formation. Spatial and temporal =
planning and scheduling. Intentionality.
6. Neural Nets Simulation, Emulation and Implementation: Environments =
and languages. Parallelization, modularity and autonomy. New hardware =
implementation strategies (FPGA's, VLSI, neurodevices). Evolutive =
architectures. Real systems validation and evaluation.
7. Methodology for Data Analysis, Task Selection and Nets Design.
8. Neural Networks for Perception: Biologically inspired preprocessing. =
Low level processing, source separation, sensor fusion, segmentation, =
feature extraction, adaptive filtering, noise reduction, texture, stereo =
correspondence, motion analysis, speech recognition, artificial vision, =
and hybrid architectures for multisensorial perception.
9. Neural Networks for Communications Systems: Modems and codecs, =
network management, digital communications.
10. Neural Networks for Control and Robotics: Systems identification, =
motion planning and control, adaptive, predictive and model-based =
control systems, navigation, real time applications, visuo-motor =
coordination.
LOCATION
BEATRIZ Hotel
Lanzarote - Canary Islands, June 4-6, 1997
Lanzarote, the most northerly and easterly island of the Canarian =
archipelago, is at the same time the most unusual one and produces a =
strange fascination on those who visit it because the fast succession of =
fire, sea and colors contrasts with craters, green valleys and =
unforgettable golden and warm beaches.
LANGUAGE
English will be the official language of IWANN'97. Simultaneous =
translation will not be provided.
CALL FOR PAPERS
The Programme Committee seeks for original papers on the above mentioned =
Topics. Authors should pay special attention to explanation of =
theoretical and technical choices involved, point out possible =
limitations and describe the current state of their work.=20
All received papers will be reviewed by the Programme Committee. =
Accepted papers may be presented orally or as poster panels, however all =
accepted contributions will be published in full length (Springer-Verlag =
Proceedings are expected).
INSTRUCTIONS TO AUTHORS
Five copies (one original and four copies) of the paper must be =
submitted. The paper must not exceed 10 pages, including figures, tables =
and references. It should be written in English on A4 paper, in a Roman =
font, 12 point in size, without page numbers. If possible, please make =
use of the latex/plaintex style file available in the WWW page: =
http://petrus.upc.es/iwann97.html . In addition, one sheet must be =
attached including: Title and authors names, list of five keywords, the =
Topic the paper fits best, preferred presentation (oral or poster) and =
the corresponding author (name, postal and e-mail address, phone and fax =
numbers).
CONTRIBUTIONS MUST BE SENT TO:
Prof. Jose Mira
Dpto. Informatica y Automatica, UNED
Senda del Rey, s/n Phone: + 34 1 3987155
E- 28040 MADRID, Spain Fax: + 34 1 3986697
IMPORTANT DATES
Second and Final Call for Papers September 1996
Final Date for Submission January 15, 1997
Notification of Acceptance March 1997
Workshop June 4-6, 1997
STEARING COMMITTEE
Prof. Joan Cabestany , Universidad Politecnica de Catalunya (E)
Prof. Jose Mira Mira, UNED (E)
Prof. Alberto Prieto, Universidad de Granada (E)
Prof. Francisco Sandoval, Universidad de Malaga (E)
TENTATIVE ORGANIZATION COMMITTEE
Michael Arbit, University of Southern California (USA)
Senen Barro, Universidad de Santiago (E)
Trevor Clarkson, King's College London (UK)
Ana Delgado, UNED (E)
Dante DelCorso, Politecnico de Torino (I)
Tamas D. Gedeon, University of New South Wales (AUS)
Karl Goser, Universit=E4t Dortmund (G)
Jeanny Herault, Institute National Polytechnique de Grenoble (F)
Jaap Hoekstra, Delft University of Technology (NL)
Roberto Moreno, Universidad de las Palmas de Gran Canaria (E)
Shunsuke Sato, Osaka University (Jp)
Igor Shevelev, Russian Academy of Science(R)
Cloe Taddei-Ferretti, Istituto di Cibernetica, CNR (I)
Marley Vellasco, Pontificia Universidade Catolica do Rio de Janeiro (Br)
Michel Verleysen, Universite Catholique de Louvain-la-Neuve (B)