Complex Adaptive Systems:

Session Chairs:

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

Chrystopher L. Nehaniv (C.L.Nehaniv@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:

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 (Tufts University, 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)

Submissions and Important Dates

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