[alife] IEEE CEC 2005 - Special Session on Complex Adaptive Systems

[Chrystopher Nehaniv]

                         Complex Adaptive Systems:

                      Towards Predictive Methodologies

                               September 2005
                             Edinburgh Scotland

  Session Chairs:

   Akira Namatame (nama at nda.ac.jp)
   Department of Computer Science, National Defense Academy, 1-10-20
   Hashirimizu, Yokosuka, Japan, 239-8686

   Chrystopher L. Nehaniv (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 (UWE, UK)
     * * Andreas Albrecht (University of Hertfordshire, UK)
     * * Takaya Arita (Nagoya University, Japan)
     * * Aude Billard (EPFL, Switzerland)
     * * Ren=E9 te Boekhorst (Univ. Hertfordshire, UK)
     * * Terry Bossomaier (Charles Sturt University, Australia)
     * * Peter Cariani (Eaton Peabody Laboratory of Auditory Physiology)
     * James P. Crutchfield (Sante Fe Institute, USA)
     * * 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)

   [* =3D already confirmed PC member]

   All submissions will be peer-reviewed by three reviewers according to
   IEEE standards.

   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
     _________________________________________________________________


    Last update 10 September 2004

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Dr. Chrystopher L. Nehaniv
Professor of Mathematical & Evolutionary Computer Sciences

Adaptive Systems & Algorithms Research Groups
School of Computer Science
University of Hertfordshire
College Lane
Hatfield, Hertfordshire AL10 9AB
United Kingdom
e-mail: C.L.Nehaniv at herts.ac.uk
phone:  +44-1707-284-470
fax:    +44-1707-284-303
URL:    http://homepages.feis.herts.ac.uk/~nehaniv/welcome.html

Director, EPSRC Network on Evolvability in Biological & Software Systems
Associate Editor, BioSystems
Associate Editor, Interaction Studies