IEEE Symposium on Artificial Life (IEEE ALIFE)

IEEE ALIFE' 19 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 of IEEE ALIFE 2019 are sponsored by Wolfram Research, Inc.

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
• 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