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
Reactivity and Deliberation: A Survey on Multi-Robot Systems
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Evolving Self-Organizing Behaviors for a Swarm-Bot
Autonomous Robots
Modeling and analysis of the collective dynamics of large-scale multi-agent systems
Modeling and analysis of the collective dynamics of large-scale multi-agent systems
Cooperative control for groups of autonomous mobile minirobots
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Self-adapting modular robotics: a generalized distributed consensus framework
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A survey on bio-inspired networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Collective decision-making in multi-agent systems by implicit leadership
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 3 - Volume 3
Cellular automata application to traffic noise control
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Biologically-inspired control for self-adaptive multiagent systems
Biologically-inspired control for self-adaptive multiagent systems
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In order to describe the technological problems of the coordination of groups of mobile minirobots, a biologically-inspired control framework for multi-agent tasks that is based on cellular automata models is discussed. This framework allow to study the behaviour of the robot platforms as collaborative agents in a multi-agent system. The case study proves that the CA model is an useful tool that can be exploited in various multiagent coordination tasks where there is a common goal among the agents.