Emerging Technologies Technical Committee

Task Force on Bio-Inspired Self-Organizing Collective Systems


Andrew AdamatzkyUniversity of the West of England, Bristol, UK


Yaochu Jin, University of Surrey, Guildford, Surrey, UK

Zhengping Ji, Advanced Image Research Lab, Samsung, Pasadena, US

Task Force Committee

Tetsya Asai,  University of Hokkaido, Sapporo, UK

Jitka Cejkova, University of Chemistry and Technology, Prague

Victor Erokhin, CNR-IMEM, Parma, Italy

Roderich Gross, The University of Sheffield, UK.

Yukio Gunji, Waseda University, Tokyo, Japan

Verena Hafner, Humboldt University, Berlin, Germany

Martin Hanczyc, Universtiy of Trento, Italy

Serge Kernbach, Universität Stuttgart, Germany.

Sanaz Mostaghim, Otto-von-Guericke-University, Germany

Vladimir Privman, Clarkson University, Potsdam, USA

Hiroki Sayama, Binghamton University, USA

Wei-Min Shen, University of Southern California, USA

Georgios Sirakoulis, Democritus University of Thrace, Greece

Kasper Stoy, University of Southern Denmark, Denmark.

Jon Timmis, University of York, UK

Juyang Weng, Michigan State University, USA

Contact: andrew.adamatzky@uwe.ac.uk

We advance the search for nature-inspired solutions swarm intelligence, reaction-diffusion and molecular computing, cellular automata machines, embedded computation and morphological computing.  The scope of our research topics covers multidisciplinary subjects: computer science and artificial intelligence (evolutionary computing, multi-agent systems, machine learning, and complex systems), artificial life,  chemical and nano-computing, experimental biology, electrical and mechanical engineering, robotics, cognitive science, and developmental and systems biology. The  task force is a forum for discussions between academia and industries in the following research topics.

Nature-inspired computing for self-organization in collective systems

Large scale parallel molecular computing devices

Life like self-organizing and self-reproducing systems

Distributed task allocation in collective systems

Self-organization, self-reconfiguration, self-repairing, and self-assembly in modular robots, multi-agent pattern formation, and multi-agent flocking and consensus

Swarm intelligence, genetic, and cellular self-organization and self-assembly

Morphogenesis in multi-agent systems

Co-evolution of neural controller and body development of collective systems

Cognitive network management and self-assembly of nano-structures

Smart materials, swarm robotics, reconfigurable modular robots, and traffic control systems