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Home | Projects | People | Publications | Links | News | 2010 IEEE
World Congress on Computational Intelligence Barcelona,
Spain, July 18-23, 2010 Special Session on Bio-Inspired Self-Organizing Multi-Agent Systems Important notice: the paper submission deadline has been extended to Feb. 7, 2010. When you submit your papers to this special session, please select special session S018 for main research topic through this website .
Organizers Prof. Yan Meng Department of Electrical
and Computer Engineering Stevens Institute of
Technology Hoboken, NJ 07030, USA Email: yan.meng@stevens.edu Dr. Yaochu Jin Honda Research Institute
Europe Carl-Legien-Str. 30 63073 Offenbach, Germany Email: yaochu.jin@honda-ri.de Dr. Roderich Gross Department of Automatic
Control & Systems Engineering The University of Sheffield Sheffield S1 3JD, UK Email:
roderich.gross@ieee.org
Aim and Scope Self-organizing multi-agent
systems are supposed to be able to act without external control to accomplish
complex tasks, while adapting to changing environmental conditions. In other words, we expect them to
exhibit some life-like features, such as self-reconfiguration, self-repair,
self-reproduction, and context awareness. However, developing such
distributed self-organizing systems, where desired global behaviors can
emerge through contextual local interactions among
individual agents as well as between the agents and the environment, is a
very challenging task. Biological systems, from
macroscopic swarm systems of social insects to microscopic cellular systems,
can generate robust and complex emerging global behaviors through relatively
simple local interactions in the presence of various kinds of uncertainty. Borrowing
ideas from biological systems for developing self-organizing multi-agent
systems has become increasingly popular. For example, swarm intelligence, a
novel paradigm for solving complex problems with massively parallel systems,
has been inspired by behaviors observed in social insect colonies, flocks of
birds, etc. Another example is that of artificial embryogeny, which simulates
the process of embryonic development of biological organisms. Artificial
embryogeny techniques have been applied in the construction of
self-organizing and self-assembling robotic systems. This special session aims
to bring together new theories and methodologies inspired by biological
principles for self-organizing multi-agent systems. The emphasis of the
session is on bridging multi-disciplinary research areas such as multi-agent
systems, robotics, artificial life, and evolutionary computation. Topics of interest The topics explored in this
special session include, but are not limited to: ·
Genetic and
cellular approaches to self-organization and self-assembly ·
Morphogenesis
in multi-agent systems ·
Self-reconfiguration
and self-assembly in modular robots ·
Self-organized
and self-repairing multi-agent pattern formation ·
Multi-agent
flocking and consensus ·
Self-organized collective
construction and stigmergy ·
Swarm
intelligence based approaches to multi-agent systems ·
Distributed
task allocation in multi-agent systems ·
Robustness,
sensitivity, and evolvability of self-organizing multi-agent systems ·
Real world
applications, e.g., cognitive network management, coverage, self-assembly of
nanostructures, smart materials, swarm robotics, reconfigurable modular
robots, and traffic control Important Dates ·
Submission
deadline: January 31, 2010 ·
Author
notification:
March 15, 2010 ·
Final version
due:
May 2, 2010 Paper Submission: Submissions should follow
the guidance given on the IEEE WCCI 2010 conference website: http://www.wcci2010.org.
When submitting, please select as the main research topic the Special Session
on "Bio-Inspired Self-Organizing Multi-Agent Systems". The special
session code is S018. All
submissions will be peer-reviewed with the same criteria used for other
contributed papers. All accepted papers will be included and published in the
conference proceedings. |
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Please
send comments to: yan.meng@stevens.edu |
