[alife] IEEE CEC 2005 - Special Session on Artificial Life
Chrystopher Nehaniv
C.L.Nehaniv at herts.ac.uk
Fri Sep 10 13:10:58 PDT 2004
IEEE CEC 2005 - Special Session on
Artificial Life
September 2005
Edinburgh, Scotland
Special Session Organizer:
Chrystopher L. Nehaniv
University of Hertfordshire, UK
Scope and Theme:
Artificial Life is the study of the simulation and synthesis of living
systems. In particular, this science of generalized living and
life-like systems provides engineering with billions of years of
design expertise to learn from and exploit through the example of the
evolution of organic life on earth. Increased understanding of the
massively successful design diversity, complexity, and adaptability of
life is rapidly making inroads into all areas of engineering and the
Sciences of the Artificial. Numerous applications of ideas from nature
and their generalizations from life-as-we-know-it to
life-as-it-could-be continually find their way into engineering and
science.
This special session will stress the development of our understanding
of fundamental principles from biological systems underlying this
success, and promote the development of a scientific and professional
community that seeks to systematically study and apply them.
Artificial Life promotes a unified view of biology and technological
design by identifying their common reliance on (1) adaptability to
changing environments via interaction and (2) evolutionary methods.
Organic evolution has achieved the only known solutions to the
tremendous problems of scalability, robustness and adaptability in
systems that may consist of astronomical numbers of elements (with
even more interactions and dependencies between them, such as for
cells in the body of a multicellular plant or animal, or for neurons
in the brain).
These (bottom-up) solutions achieved by biology are, moreover,
grounded in particular physical and system constraints, coordinate
robust stability through different levels of hierarchical
organization, and are capable of growing, developing, and adapting
dynamically in a complex environment with changing requirements. Such
problems represent a complexity ceiling for traditional human
engineering methods that fail to scale up to today's development and
maintenance problems in software, telecommunications and control.
Particular areas of current explosive growth in scientific
understanding relevant to the success we see in biological systems
include the study of interaction, development, symbiosis (and its
evolutionary extreme, symbiogenesis), embodiment, epigenetics, and
developmental robustness and plasticity, higher-level units of
individuality (with heritability of fitness), evolutionary
developmental morphogenesis with genetic regulatory control, and
massively parallel and distributed multicellular networks with special
connectivity characteristics. Current practice in robotics and
evolutionary computation is benefitting from ever deeper understanding
of these principles and mechanisms underlying the success of
life-on-earth, as generalized to other domains by Artificial Life.
Target topics in this special session will include, but not
necessarily be be limited to, the following:
Focus Topics
* Applications of Artificial Life (in Robotics, Artificial
Intelligence, Telecommunications)
* Design by Evolution
* Social Robotics and Interaction Dynamics
* Development and Evolution of Multicellular Systems
* Demonstrations of Self-Repair, Self-Maintenance, & Self-Production
Mechanisms
* Demonstrations of Growth, Regeneration and Apoptosis Mechanisms
* Methods and Applications of Evolutionary Developmental Systems
(e.g. developmental genetic-regulatory networks (DGRNs),
multicellularity)
* Signal Transduction and Genetic Regulatory Control in Life-like
Systems
* Degrees of Embodiment and Applications
* Self-Reproducing Automata and their Applications
* Minimal Robotic Mechanisms for Life-like Systems
* Evolutionary Robotics and Control
* Sensor Evolution
* Nanotechnology and Compilable Matter
* Cellular Automata and Automata Networks
* Systems Biology Applications of Artificial Life
* Information-Theoretic and Dynamical Systems Methods in the
Foundation of Engineering Applications of Life-like Systems
* Constructive Biology: Validation of Biological Theory through
Building (and applications)
* Evolution of Information Flow in the Perception-Action Loop
* Symbiogenesis and Applications
* Phenotypic Plasticity and Adaptability in Scalable, Robust Growing
Systems
* Evolutionarily Guided Design in Novel Media (e.g. liquid crystal,
reaction-diffusion systems, etc.)
* Applications in Space Sciences, Aeronautics & Medicine
* Evolvability and Genetic Systems
* Interaction Dynamics
* Biological Clocks and their Generalizations in Synchronization and
Control
* Computational Morphogenesis
* Hertiability of Fitness and Epigenetics
Scientific Program Committee Members
* * Hussein Abbass (University of New South Wales, Australia)
* * Aude Billard (EPFL, Switzerland)
* * Terry Bossomaier (Charles Sturt University, Australia)
* * Larry Bull (University of the West of England, UK)
* * Mathieu Capcarrere (University of Kent)
* * Peter Cariani (Eaton Peabody Laboratory of Auditory Physiology,
USA)
* * Kerstin Dautenhahn (Univ. Hertfordshire, UK)
* * Dario Floreano (Swiss Federal Institute of Technology (EPFL),
Switzerland)
* * Robert A. Freitas, Jr (Institute for Molecular Manufacturing,
USA)
* James M. Goodwin (University of California, Los Angeles, USA)
* * David Green (Monash University, Australia)
* * Auke Jan Ijspeert (EPFL, Switzerland)
* * Takashi Ikegami (University of Tokyo, Japan)
* * Peter McOwan (Queen Mary, University of London)
* * Akira Namatame, (National Defense Academy, Japan)
* * Chrystopher L. Nehaniv (University of Hertfordshire, UK)
* * Stefano Nolfi (Institute of Cognitive Sciences and Technology,
Italy)
* * Jan T. Kim (University of Luebeck, Germany)
* * Hod Lipson (Cornell University, USA)
* * Paul Marrow (British Telecom, UK)
* * Julian F. Miller (University of York, UK)
* * Daniel Polani (Univ. Hertfordshire, UK)
* * Hiroki Sayama (University of Electro-Communications, Tokyo,
Japan)
* * Brian Scassellati (Yale University, USA)
* * Richard Tateson (British Telecom, UK)
* * Janet Wiles (University of Queensland, Australia)
[* = 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-AL.html
_________________________________________________________________
Last update 10 September 2004
C.L.Nehaniv at herts.ac.uk
-----------
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
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