Emerging Clapping Synchronization From a Complex Multiagent Network With Local Information via Local Control

Recently, complex multiagent networks have received increasing attention from various fields of science and engineering. Synchronization is a typical collective behavior of complex multiagent networks that has extensively been investigated over the last decade. To reveal the dynamical mechanism of synchronization in complex multiagent networks, a simple complex multiagent network with local information is then further investigated. Based on a suitable model, we analyze the inherent key factors in the emerging clapping synchronization. In particular, we explore two challenging fundamental questions: 1) How does the number of informed agents (or backbones) affect the emerging clapping synchronization? 2) How does the distribution of informed agents (or backbones) affect the emerging clapping synchronization? Our results indicate that the emerging clapping synchronization has a great diversity of routes, uncertainty, and adaptability. Moreover, our model and approach provide a possible route for analyzing the other collective behaviors of complex multiagent networks with local information via local control.

[1]  C. K. Michael Tse,et al.  Adaptive Feedback Synchronization of a General Complex Dynamical Network With Delayed Nodes , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[2]  Guanrong Chen,et al.  A time-varying complex dynamical network model and its controlled synchronization criteria , 2005, IEEE Transactions on Automatic Control.

[3]  Bing Li,et al.  Complex network topology mining and community detection , 2005 .

[4]  Daizhan Cheng,et al.  Characterizing the synchronizability of small-world dynamical networks , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  Deyi Li,et al.  Emergent computation: Virtual reality from disordered clapping to ordered clapping , 2008, Science in China Series F: Information Sciences.

[6]  S. Strogatz Exploring complex networks , 2001, Nature.

[7]  Chai Wah Wu,et al.  Synchronization and convergence of linear dynamics in random directed networks , 2006, IEEE Transactions on Automatic Control.

[8]  Li De,et al.  Artificial Intelligence with Uncertainty , 2004 .

[9]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[10]  Deyi Li,et al.  Artificial Intelligence with Uncertainty , 2004, CIT.

[11]  A. Barabasi,et al.  Physics of the rhythmic applause. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[12]  Albert-László Barabási,et al.  The sound of many hands clapping: Tumultuous applause can transform itself into waves of synchronized clapping. , 2000 .

[13]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[14]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.