Meddler, agents in the bounded confidence model on flocking movement world

Authors:
Shusong Li;Shiyong Zhang;Binglin Dou
Affiliations:
Department of Computing & Information Technology, Fudan University, ShangHai, P.R. China;Department of Computing & Information Technology, Fudan University, ShangHai, P.R. China;Department of Computing & Information Technology, Fudan University, ShangHai, P.R. China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Year:
2011

Citing 3
Cited 0

Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Follow the Leader: Profiling Agents in an Opinion Formation Model of Dynamic Confidence and Individual Mind-Sets

IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Stability analysis of social foraging swarms

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

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.