NEWS: Deadline extended to 1/29
Artificial Life (ALife) 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.
Evolution is one of the key concerns of ALife, in its computational form (Evolutionary Computation), as a synthetic system unto itself (Computational Evolution), and also in the study of the role of evolution in the development of biological systems. The Special Session on Artificial Life in IEEE CEC 2024 will brings together researchers working on the emerging areas of ALife and EC, 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.
Claus Aranha is an assistant professor at the University of Tsukuba. Department of Computer Sciences, and member of the Center for Artificial Intelligence Research. He works on Evolutionary Computation, Artificial Life, and Social Simulation.
Lana Sinapayen is an associate researcher at Sony Computer Science Laboratories and an associate professor at the National Institute for Basic Biology in Japan. She is also the Research Chair of the International Society for Artificial Life's (ISAL) board of directors and a member of ISAL's DEI committee.
Hiroki Sayama is the Director of the Binghamton Center of Complex Systems, Professor at the Department of Systems Science and Industrial Engineering, Binghamton University, State University of New York, and professor at Waseda University. He is also Vice-chair of the IEEE Task Force on Artificial Life and Complex Adaptive Systems.
Neil Vaughan is an associate professor and Royal Academy of Engineering (RAEng) research fellow in Artificial Intelligence at University of Exeter, UK. He is researching Artificial Life, including virtual simulation models, swarm self-organisation, neuroevolution and Evolutionary Computation.
For any inquiries about the special session, please send an e-mail to Claus at: caranha@cs.tsukuba.ac.jp
Last Updated: 2024/01/12