[alife] CFP: Complex Adaptive Systems at IEEE CEC - Edinburgh, Scotland

[Chrystopher L. Nehaniv]

 Call for Papers:  Special Sessions at IEEE CEC 2005
 (Sept 2005, just before ECAL) Submission: Deadline 11 April 2005


  Complex Adaptive Systems:


      Towards Predictive Methodologies


      at the 2005 IEEE Congress on Evolutionary Computation
      <http://www.dcs.ex.ac.uk/%7Edwcorne/cec2005/>
      Edinburgh, Scotland - 2-5 September 2005


      Session Chairs:

Akira Namatame <http://www.nda.ac.jp/%7Enama/> (nama at nda.ac.jp 
<mailto:nama at nda.ac.jp>)
Department of Computer Science, National Defense Academy, 1-10-20 
Hashirimizu, Yokosuka, Japan, 239-8686

Chrystopher L. Nehaniv <http://homepages.feis.herts.ac.uk/%7Enehaniv> 
(C.L.Nehaniv at herts.ac.uk <mailto:C.L.Nehaniv at herts.ac.uk>)
Algorithms & Adaptive Systems Research Groups, School of Computer 
Science, University of Hertfordshire, College Lane, Hatfield, 
Hertfordshire, United Kingdom AL10 9AB


      Scope and Theme:

This special session is concerned with fostering the formation of an 
active multi-disciplinary community on Complex Adaptive Systems. We 
especially intend to increase the awareness of researchers in many 
fields sharing the common view on combining agent-based modeling and the 
evolutionary computation model in order to develop insight and foster 
predictive methodologies. Complex adaptive systems involve the study of 
many agents (constituent components, generally active ones with a simple 
structures, whose behavior is assumed to follow local rules) and their 
rich interactions. A basic methodology is to specify how the agents 
interact, and then observe properties that occur at the collective level 
in order to discover predictive principles and key descriptive variables 
for understanding and/or shaping and harnessing the resulting dynamics.

Generally the high-dimensional, non-linear nature of the resulting 
dynamical systems makes them difficult or impossible to analyze using 
traditional methods. Agents follow local rules under various constraints 
(including possibly, e.g. spatial connectivity, geometric, physical, 
genetic, evolvability, ecological, interactional, sensorimotor, 
energetic, and information-processing constraints). The resulting 
dynamics are not necessarily derivable from any principles of analytic 
calculation. Under the action of evolution, such agents adapt to their 
environments and other agents' behaviors. The adaptation processes can 
be massively parallel, depending on the number of agents, and we 
especially need to explore the relationship between at the individual 
level and at the collective level. The idea of combining evolutionary 
computation and agent-based modeling is particularly rich and fresh and 
applicable to answer these issues.

The emergent phenomena arising from interactions even among a small 
number of agents and their environment are not well-understood, e.g. in 
the evolution signaling, communication, and interaction dynamics.

We will invite high quality contributions on a wide variety of topics 
relevant to the wide research areas of Complex Adaptive Systems. We will 
especially cover in-depth of important areas such as:


      Topics of Interest:

    * Collective Behavior
    * Complex Networks of Adaptive Agents
    * Multiscale Robustness and Plasticity
    * Applications in Robotics & Sensor Evolution
    * Information-Theoretic Methods and Dynamical Systems Analyses for
      Complex Adaptive Systems
    * Signaling, Communication and Social Networks
    * Unconventional Computing Media Substrates for Complex Adaptive
      Systems
    * Applications and Models for Systems Biology
    * Multicellular Complex Adaptive Systems (applications, e.g. in
      biology, cell sorting and morphogenesis)
    * Role of Constraints in Dynamics of Complex Adaptive Systems
    * Sensor-Actuator Evolution
    * Agent-based models: Theory and Simulations
    * Co-evolutionary Learning
    * Collective Learning
    * Particle Swarms
    * Replicator Dynamics
    * Applications to Nanotechnology and Medicine
    * Evolutionary Games
    * Evolutionary Reinforcement Learning Interacting Particle Systems
    * Learning of heterogeneous agents
    * Learning in Games,
    * Markets as Complex Adaptive Systems
    * Scalable, Evolvable, Emergent Developmental Systems


      Scientific Program Committee Members

    * Hussein Abbass (University of New South Wales, Australia)
    * Andrew Adamatzky (University of the West of England, UK)
    * Andreas Albrecht (University of Hertfordshire, UK)
    * Takaya Arita (Nagoya University, Japan)
    * Aude Billard (EPFL, Switzerland)
    * René te Boekhorst (Univ. Hertfordshire, UK)
    * Terry Bossomaier (Charles Sturt University, Australia)
    * Peter Cariani (Eaton Peabody Laboratory of Auditory Physiology)
    * Dario Floreano (Swiss Federal Institute of Technology (EPFL),
      Switzerland)
    * Robert A. Freitas, Jr (Institute for Molecular Manufacturing, USA)
    * David Green, (Monash University, Australia)
    * Peter McOwan (Queen Mary Univesity of London, UK)
    * Auke Jan Ijspeert (EPFL, Switzerland)
    * Takashi Ikegami (University of Tokyo, Japan)
    * James M. Goodwin (UCLA, USA)
    * Paul Marrow (British Telecom, UK)
    * Julian F. Miller (University of York, UK)
    * Akira Namatame (National Defense Academy, Japan)
    * Stefano Nolfi (Institute of Cognitive Sciences and Technology, Italy)
    * Chrystopher L. Nehaniv (University of Hertfordshire, UK)
    * Daniel Polani (Univ. Hertfordshire, UK)
    * Keiki Takadama (Tokyo Institute of Technology, Japan)
    * Richard Tateson (British Telecom, UK)
    * Hugo Touchette (Imperial College, UK)
    * Frank Schweitzer (Fraunhofer Institute for Autonomous Intelligent
      Systems, Germany)
    * David Wolpert (NASA Ames Research Center, USA)
    * Janet Wiles (University of Queensland, Australia)


      Submissions and Important Dates

Submissions Deadline: 11 April 2005
Notification to Authors: 11 May 2005
Camera-Ready Copies Due: 11 June 2005

All submissions will be peer-reviewed according to IEEE standards. 
Submissions should be in IEEE two-column format up to 6 pages according 
to instructions on IEEE CEC website giving format and uploading 
requirement details. (Authors should indicate this special session when 
uploading their submission.)

Organized with the support of:
The IEEE Working Group on Artificial Life and Complex Adaptive Systems
The U.K. EPSRC Network on Evolvability in Biological and Software Systems

Special Session Homepage and Updates: 
http://homepages.feis.herts.ac.uk/~nehaniv/IEEE-CEC05-CAS.html 
<http://homepages.feis.herts.ac.uk/%7Enehaniv/IEEE-CEC05-CAS.html>