Synchronization of pulse-coupled biological oscillators
SIAM Journal on Applied Mathematics
Firefly-inspired sensor network synchronicity with realistic radio effects
Proceedings of the 3rd international conference on Embedded networked sensor systems
Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Desynchronization: The Theory of Self-Organizing Algorithms for Round-Robin Scheduling
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
Emergence of genetic coding: an information-theoretic model
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
All else being equal be empowered
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Evolving spatiotemporal coordination in a modular robotic system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Agent-based coordination techniques for matching supply and demand in energy networks
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Taming the beast: guided self-organization of behavior in autonomous robots
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Integrated Computer-Aided Engineering
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We present a novel approach to self-organisation of coordinated behaviour among multiple resource-sharing agents. We consider a hierarchical multi-agent system comprising multiple energy-dependent agents split into local neighbourhoods, each with a dedicated controller, and a centralised coordinator dealing only with the controllers. The coordinated behaviour is required in order to achieve a balance between the overall resource consumption by the multi-agent collective and the stress on the community. Minimising the resource consumption increases the stress, while reducing the stress may lead to unrestricted and highly unpredictable demand, harming the individual agents in the long-run. We identify underlying forces in the system's dynamics, suggest a number of quantitative measures used to contrast different strategies, and introduce a novel strategy based on persistent sensorimotor time-loops: homeotaxis. Homeotaxis subsumes the homeokinetic principle, extending it both in terms of scope (multi-agent self-organisation) and the state-space, and allows to select the best adaptive strategy for the considered system.