The Hegselmann-Krause Dynamics for the Continuous-Agent Model and a Regular Opinion Function Do Not Always Lead to Consensus
暂无分享,去创建一个
[1] Mark Braverman,et al. On the convergence of the Hegselmann-Krause system , 2012, ITCS '13.
[2] Peter Hegarty,et al. The Hegselmann-Krause dynamics for equally spaced agents , 2014, ArXiv.
[3] F. Bullo,et al. On Synchronous Robotic Networks—Part I: Models, Tasks, and Complexity , 2005, IEEE Transactions on Automatic Control.
[4] Guillaume Deffuant,et al. Mixing beliefs among interacting agents , 2000, Adv. Complex Syst..
[5] John N. Tsitsiklis,et al. On the 2R conjecture for multi-agent systems , 2007, 2007 European Control Conference (ECC).
[6] Emilio Frazzoli,et al. On synchronous robotic networks Part II: Time complexity of rendezvous and deployment algorithms , 2007, Proceedings of the 44th IEEE Conference on Decision and Control.
[7] John N. Tsitsiklis,et al. On Krause's Multi-Agent Consensus Model With State-Dependent Connectivity , 2008, IEEE Transactions on Automatic Control.
[8] Bernard Chazelle,et al. The Total s-Energy of a Multiagent System , 2010, SIAM J. Control. Optim..
[9] Rainer Hegselmann,et al. Opinion dynamics and bounded confidence: models, analysis and simulation , 2002, J. Artif. Soc. Soc. Simul..
[10] S. Fortunato. On The Consensus Threshold For The Opinion Dynamics Of Krause–Hegselmann , 2004, cond-mat/0408648.
[11] Peter Hegarty,et al. A Quadratic Lower Bound for the Convergence Rate in the One-Dimensional Hegselmann–Krause Bounded Confidence Dynamics , 2014, Discret. Comput. Geom..
[12] Behrouz Touri,et al. On convergence rate of scalar Hegselmann-Krause dynamics , 2012, 2013 American Control Conference.