Affiliation:
1. Laboratorio de Sistemas Complejos, Facultad de Ingeniería, Universidad de Buenos Aires, Argentina
2. Comisión de Investigaciones Científicas, Buenos Aires State, Argentina
Abstract
We analyze a Lotka-Volterra-like social lattice of agents interacting among themselves in collaborative or competitive scenarios. Dynamic characteristics of the model are derived, equilibrium points of the system are found. For the nearest neighbor interaction structure case, which depends on a γ1 parameter, also bifurcations are explored allowing us to understand how different levels of collaboration or competition leads the system to different configurations. We found that, within the range -α/4 < γ1 < α/4 the system tend to an uniform configuration, and when competition becomes aggressive, γ1 > α/4, agents tend to polarized opinions and contrarians agents appear naturally. Higher neighbor structures have been also simulated, for which contrarian patterns also emerge dynamically. In all cases the initial conditions of the lattice are randomly taken. Hung and conflictive scenarios are discussed.
Publisher
World Scientific Pub Co Pte Lt
Subject
Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Cited by
2 articles.
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1. Cooperative peer-to-peer multiagent-based systems;Physical Review E;2015-08-10
2. Dynamic peer-to-peer competition;Physica A: Statistical Mechanics and its Applications;2010-07