Synchronization of Phase Oscillators as a Model of Synergy in Sensor Networks
One of the most challenging phenomena that can be observed in an ensemble of interacting agents is that of selforganisation, viz. emergent, collective behaviour, also known as synergy. The concept of synergy is well-known in the artificial intelligence community, in social science, and in management and economic sciences. The paradigm may be expressed by identifying an ensemble performance measure that yields more than the sum of the individual performance measures of the constituents. The aim of the present study is to discuss in a simple conceptual model system under what circumstances selforganization is feasible and to discuss what type of agents and interactions are minimally required to induce synergy among agents. As a case in point we discuss the emergent phase coherence of a multi-oscillator system with non-linear all-to-all coupling between the oscillators. In the thermodynamic limit of infinitely many interacting agents this system shows spontaneous organization. Simulations indicate that also for finite populations that are not completely connected partial phase synchronization spontaneously emerges if the interaction strength is strong enough.
Arien J.van der Wal
Netherlands Defence Academy (NLDA) P.O.Box 10000, 1780 CA Den Helder, The Netherlands
国际会议
The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
杭州
英文
611-616
2010-11-15（万方平台首次上网日期，不代表论文的发表时间）