ALIFE 2013 - IEEE ALIFE 2013 2013 IEEE Symposium on Artificial Life

IEEE ALIFE 2013

2013 IEEE Symposium on Artificial Life

IEEE ALIFE 2013 brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, aiming to understand and synthesize life-like systems and applying bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others.
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.

Topics

Some sample topics of interest include, but are not limited to, the following aspects of Artificial Life:

Systems Biology, Astrobiology, Origins of Replicators and Life
Major Evolutionary Transitions
Applications in Nanotechnology, Compilable Matter, or Medicine
Genetic Regulatory Systems
Predictive Methods for Complex Adaptive Systems
Self-reproduction, Self-Repair, and Morphogenesis
Robotic and Embodiment: Minimal, Adaptive, Ontogenetic and/or Social Robotics
Human-Robot Interaction
Constructive Dynamical Systems and Complexity
Evolvability, Heritability, and Multicellularity
Information-Theoretic Methods in Life-like Systems
Sensor and Actuator Evolution and Adaptation
Wet and Dry Artificial Life (e.g. artificial cells; non-carbon based life)
Non-Traditional Computational Media
Emergence and Complexity
Multiscale Robustness and Plasticity
Phenotypic Plasticity and Adaptability in Scalable, Robust Growing Systems
Predictive Methods for Complex Adaptive Systems and Life-like Systems
Automata Networks and Cellular Automata
Ethics and Philosophy of Artificial Life
Co-evolution and Symbiogenesis
Simulation and Visualization Tools for Artificial Life
Replicator and Interaction Dynamics
Network Theory in Biology and Artificial Life
Synchronization and Biological Clocks
Methods and Applications of Evolutionary Developmental Systems (e.g. developmental genetic-regulatory networks (DGRNs), multicellularity)
Games and Generalized Biology
Self-organization, Swarms and Multicellular Systems
Emergence of Signaling and Communication
Applications in Sociology, Economics and Behavioral Sciences
Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Chair and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Symposium Chair.

Symposium Co-Chairs

Hussein Abbass, University of New South Wales, Australian Defence Force Academy, Australia.

Program Committee (Provisional)

Terry Bossomaier, Charles Sturt University, Australia
Hiroki Sayama, State University of New York, USA
Chrystopher Nehaniv, University of Hertfordshire, UK
Andrew Adamatzky, University of the West of England, UK
Andreas Albrecht, Queen's University Belfast, UK
Fernando Almeida e Costa, University of Sussex, UK
Lee Altenberg, University of Hawaii, USA
Takaya Arita, Nagoya University, Japan
Wolfgang Banzhaf, Memorial University, Canada
Randall Beer, Indiana University, USA
Axel Bender, Defence Science and Technology Organisation, Australia
René te Boekhorst, University of Hertfordshire, UK
Josh Bongard, University of Vermont, USA
Seth Bullock, University of Southampton, UK
Martin V. Butz, University of Würzburg, Germany
Lola Cañamero, University of Hertfordshire, UK
Angelo Cangelosi, University of Plymouth, UK
Kerstin Dautenhahn, University of Hertfordshire, UK
Marco Dorigo, Universite libre de Bruxelles, Belgium
Alan Dorin, Monash University, Australia
René Doursat, Complex Systems Institute, Paris, France
Margaret J. Eppstein, University of Vermont, USA
Dario Floreano, Swiss Federal Institute of Technology, Switzerland
Robert A. Freitas, Jr., Institute for Molecular Manufacturing, USA
Carlos Gershenson, Universidad Nacional Autonoma de Mexico, Mexico
Steve Grand, Cyberlife Research, UK
David Green, Monash University, Australia
Pauline Haddow, Norwegian University of Science and Technology, Norway
Inman Harvey, University of Sussex, UK
Takashi Ikegami, University of Tokyo, Japan
Christian Jacob, University of Calgary, Canada
Jan T. Kim, University of East Anglia, UK
Hod Lipson, Cornell University, USA
Bob McKay, Seoul National University, Korea
Peter William McOwan, Queen Mary, University of London, UK
Assif Mirza, Italian Institute of Technology, Italy
Amiram Moshaiov, Tel-Aviv University, Israel
Akira Namatame, National Defense Academy, Japan
Stefano Nolfi, Institute of Cognitive Sciences and Technologies, CNR, Italy
Ferdinand Peper, National Institute of Information and Communications Technology, Japan
Daniel Polani, University of Hertfordshire, UK
Steen Rasmussen, University of Southern Denmark, Denmark
Thomas S. Ray, University of Oklahoma, USA
Luis Rocha, Indiana University, USA
Matthias Scheutz, Indiana University, USA
Adrian Stoica, NASA Jet Propulsion Laboratory, USA
Masanori Sugisaka, Nippon Bunri University, Japan
Reiji Suzuki, Nagoya University, Japan
Tim Taylor, Timberpost, UK
Christof Teuscher, Portland State University, USA
Hugo Touchette, Queen Mary, University of London, UK
Andy Tyrrell, University of York, UK
Tatsuo Unemi, Soka University, Japan
Sebastian von Mammen, University of Calgary, Canada
Juyang Weng, Michigan State University, USA
Justin Werfel, Harvard University, USA
Jason Teo Tze Wi, Universiti Malaysia Sabah, Malaysia
Janet Wiles, University of Queensland, Australia
Larry Yaeger, Indiana University, USA
Hector Zenil, Wolfram Research, USA