IEEE Symposium on Artificial Life (IEEE ALIFE)

December 6-9, 2019, Xiamen, China.

IEEE ALIFE 2019 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.

Best Paper/Best Student Paper Awards will be sponsored by Wolfram Research, Inc.

Important dates

Paper Submissions: July 10, 2019  
Notification to Authors: Sep. 1, 2019
Final Submission: Oct. 1, 2019
Early Registration: Oct. 1, 2019

Publications

Accepted papers after peer-review will be published in the IEEE SSCI conference proceedings. Submissions will be made via the main IEEE SSCI website.

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 
  • Major Evolutionary Transitions 
  • Applications in Nanotechnology, Compilable Matter, or Medicine 
  • Genetic Regulatory Systems 
  • Self-reproduction, Self-Repair, and Morphogenesis 
  • Human-Robot Interaction 
  • Robotics & Embodiment: Minimal, Adaptive, Ontogenetic and/or Social Robotics
  • Constructive Dynamical Systems and Complexity 
  • Evolvability, Heritability, and Multicellularity 
  • Information-Theoretic Methods 
  • 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 & 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 

Organizing Committee

Hiroki Sayama – Binghamton University, USA (chair) – sayama@binghamton.edu
Chrystopher Nehaniv – University of Waterloo, Canada
Joseph Lizier – The University of Sydney, Australia
Stefano Nichele – Oslo Metropolitan University, Norway
Terry Bossomaier – Charles Sturt University, Australia

For more information, visit http://ssci2019.org/alife.html

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