ALIFE 2015 - 2015 IEEE Symposium on Artificial Life(IEEE ALIFE'15)

IEEE ALIFE 2015 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
We invite submissions of high-quality contributions on a wide variety of topics relevant to the wide research areas of Artificial Life. 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
Fuzzy Neural Systems and Control
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
Human-Robot Interaction
Robotic and Embodiment: Minimal, Adaptive, Ontogenetic and/or Social Robotics
Constructive Dynamical Systems and Complexity
Evolvability, Heritability, and Multicellularity
Genetic Regulatory Systems
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
Genetic Regulatory Systems
Replicator and Interaction Dynamics
Network Theory in Biology and Artificial Life
Synchronization and Biological Clocks
Genetic Regulatory Systems
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
Genetic Regulatory SystemsApplications in Sociology, Economics and Behavioral Sciences
Organisers
Mikhail Prokopenko
The University of Sydney, Australia. Email:mikhail.prokopenko-AT-sydney.edu.au
Chrystopher Nehaniv
University of Hertfordshire, UK. Email:c.l.nehaniv-AT-herts.ac.uk
Terry Bossomaier
Charles Sturt University, Australia.
Email: tbossomaier-AT-csu.edu.au
Joseph Lizier
The University of Sydney, Australia. Email:joseph.lizier-AT-sydney.edu.au
Hiroki Sayama
Binghamton University, USA. Email:sayama-AT-binghamton.edu