Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Designing emergent behaviors: from local interactions to collective intelligence
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving Globally Synchronized Cellular Automata
Proceedings of the 6th International Conference on Genetic Algorithms
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Emergence of Macro Spatial Structures in Dissipative Cellular Automata
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
What can cellular automata tell us about the behavior of large multi-agent systems?
Software engineering for large-scale multi-agent systems
An infectious disease outbreak simulator based on the cellular automata paradigm
IICS'04 Proceedings of the 4th international conference on Innovative Internet Community Systems
| Hi-index | 0.00 |
A coordination mechanism for a system of sparsely communicating agents is described. The mechanism is based on a stochastic version of cellular automata. A parameter similar to a temperature can be tuned to change the behaviour of the system. It is found that the best coordination occurs near a phase transition between order and chaos. Coordination does not rely on any particular structure of the connections between agents, thus it may be applicable to a large array of sparsely communicating mobile robots.