Abstract
We present and analyze a model of Opinion Dynamics and Bounded Confidence on the Flocking movement world. There are two mechanisms for interaction. The theorem of ‘Flocking’ limits the agent’s movement around the world and ‘Bounded Confidence’ chooses the agents to exchange the opinion. We introduce some special agents with different character into the system and simulate the opinion formation process using the proposed model. The results show the special agent can change the dynamics of system with small population. The infector shortens convergence time; the extremist leads to asymmetry polarization or deflection consensus; the leader change dynamics of system from consensus to polarization; and the meddler make sure that the final state becomes asymmetry polarization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ramirez-Cano, D., Pitt, J.: Follow the leader: profiling agents in an opinion formation model of dynamic confidence and individual mind-sets. In: Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Hong Kong, China (2006)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Advances in Complex Systems 3(1-4) (2000)
Hegselmann, R., Krause, U.: Opinino Dynamics and Bounded Confidence models, analysis, and simulation. Journal of Artificial Societies and Social Simulation 5(3) (2002)
Mckeowwn, G., Sheehy, N.: Mass media and Polarisation processes in the bounded confidence model of opinion dynamics. Journal of Artificial Societies and Social Simulation 9(1) (2006)
Amblard, F., Deffuant, G.: The role of network topology on extremism propagation with relative agreement opinion dynamics. Physica A 343 (2004)
Olfati-Saber, R.: Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans. Automat. Contr. 51 (2005)
Han, J.: Soft control on collective behavior of a group of autonomous agents by a shill agent. Jrl. Syst. Sci. & Complexity 19 (2006)
Gazi, V., Passino, K.M.: Stability Analysis of Social Foraging Swarms. IEEE Transactions on Systems, Man and Cybernetics 34 (2004)
Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21 (1987)
Netlogo [EB/OL] (2007), http://ccl.northwestern.edu/netlogo
Fortunato, S.: Damage Spreading and Opinoin Dynamics on Scale Free Networks. Physica A 384 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, S., Zhang, S., Dou, B. (2011). Meddler, Agents in the Bounded Confidence Model on Flocking Movement World. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_68
Download citation
DOI: https://doi.org/10.1007/978-3-642-21090-7_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21089-1
Online ISBN: 978-3-642-21090-7
eBook Packages: Computer ScienceComputer Science (R0)