IEEE Symposium on CI in Artificial Life and Cooperative Intelligent Systems (IEEE ALIFE-CIS)

Symposium Chair: Stefano Nichele

Technical Activities Liaison/Strategy: Chrystopher Nehaniv

Symposium Technical Co-Chair: Hiroki Sayama

Symposium Technical Co-Chair: Chrystopher Nehaniv

Symposium Publicity Co-Chair: Joseph Lizier

Symposium Publicity Co-Chair: Kai Olav Ellefsen

Symposium Industry Co-Chair: Eric Medvet

Symposium Industry Co-Chair: Mario Pavone

Symposium Publication Chair: Claus Aranha

Symposium Diversity and Inclusion Chair: Erica Salvato

Scope

The IEEE SSCI symposium on Artificial Life and Cooperative Intelligent Systems brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, as well as Cooperative Intelligent Systems. The aim is to understand and synthesize life-like systems and to apply 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, providing 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.

Cooperative Intelligence is a hallmark of social, economic, and differentiated multicellular systems, and is a source of inspiration for engineering methods and applications. The motivation is that the coordination among related systems may result in higher performance, more efficiency and lower costs compared with the case that single system/control is involved. Distributed coordination and optimization have attracted particular attention since they can be implemented without relying on central computing and extensive communication among the agents. Thus, designing effective distributed coordination strategies and optimization algorithms for various multi-agent systems both poses significant challenges as well as provides abundant research opportunities.

We are seeking contributions that address either theoretical developments or practical applications in these fields. Further, the Symposium aims to promote collaboration and the sharing of knowledge to develop the field of CI in Artificial Life and Cooperative Intelligent Systems.

Topics of interest include, but are not limited to:

Technologies: