CONICET | Buscador de Institutos y Recursos Humanos

Collective behavior is the result of the interaction of a largenumber of self-propelled particles, which spontaneously and undercertain specific conditions move orderly. Many groups of livingbeings (from cells and bacteria to fish, birds, mammals and evenhumans) has this specific kind of motion under particular conditions.The configuration of the particles positions and its time evolutioncan be analyzed with the tools of the statistical physics, searchingthe existence, determination and characterization of ordered phasesin non-equilibrium systems.In this context, simple butnon-trivial models have been proposed with the purpose to contributeto the understanding of this complex behavior.The Vicsek Model (VM) was the pioneer model of computationalphysicist to study the collective motion. In this simple model,particles with constant speed v0 assumes theaverage direction of motion of their closest neighbors distorted bythe existence of a noise of amplitude h.However, the introduction of complex interactions are needed in orderto understand more realistic problems, such as socio-psychologicalforces, comprehension and friction. In this way, the Social ForceModel (SFM) takes into account these interactions because it wasparticularly designed to reproduce the motion of pedestrians.Our work focus the attention on the role of the interactions betweenparticles confined in a corridor. By means of Monte Carlosimulations, we study the effects of these interactions on theconfigurations that the system reaches in the steady state, and theorder-disorder transition.p { margin-bottom: 0.25cm; direction: ltr; color: rgb(0, 0, 0); line-height: 120%; }p.western { font-family: "Liberation Serif", "Times New Roman", serif; font-size: 12pt; }p.cjk { font-family: "Droid Sans Fallback"; font-size: 12pt; }p.ctl { font-family: "FreeSans"; font-size: 12pt; }

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