Decentralized control and interactive design methods for large-scale heterogeneous self-organizing swarms

Authors:
Hiroki Sayama
Affiliations:
Department of Bioengineering, Binghamton University, State University of New York, Binghamton, NY
Venue:
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Year:
2007

Citing 10
Cited 1

Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Swarm intelligence

Swarm intelligence
Artificial chemistries—a review

Artificial Life
Self-Organization in Biological Systems

Self-Organization in Biological Systems
Ant Colony Optimization

Ant Colony Optimization
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms

Autonomous Robots
Extending self-organizing particle systems to problem solving

Artificial Life
Distributed Coordination of Simulated Robots Based on Self-Organization

Artificial Life
Fundamentals of Computational Swarm Intelligence

Fundamentals of Computational Swarm Intelligence
Swarm chemistry

Artificial Life

Application notes: robust morphogenesis of robotic swarms

IEEE Computational Intelligence Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present new methods of decentralized control and interactive design for artificial swarms of a large number of agents that can spontaneously organize and maintain non-trivial heterogeneous formations. Our model assumes no elaborate sensing, computation, or communication capabilities for each agent; the self-organization is achieved solely by simple kinetic interactions among agents. Specifications of the final formations are indirectly and implicitly woven into a list of different kinetic parameter settings and their proportions, which would be hard to obtain with a conventional top-down design method but may be designed heuristically through interactive design processes.