Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2009-06-30
Nonlinear Sciences
Adaptation and Self-Organizing Systems
32 pages, 2 figures, Latex. Nonlinear Dynamics, to appear
Scientific paper
We propose an entropic geometrical model of crowd behavior dynamics (with dissipative crowd kinematics), using Feynman action--amplitude formalism that operates on three synergetic levels: macro, meso and micro. The intent is to explain the dynamics of crowds simultaneously and consistently across these three levels, in order to characterize their geometrical properties particularly with respect to behavior regimes and the state changes between them. Its most natural statistical descriptor (order parameter) is crowd entropy $S$ that satisfies the Prigogine's extended second law of thermodynamics, $\partial_t S\geq 0$ (for any nonisolated multi-component system). Qualitative similarities and superpositions between individual and crowd configuration manifolds motivate our claim that \emph{goal-directed crowd movement} operates under entropy conservation, $\partial_t S = 0$, while \emph{naturally chaotic crowd dynamics} operates under (monotonically) increasing entropy function, $\partial_t S > 0$. Between these two distinct topological phases lies a phase transition with a chaotic inter-phase. Both inertial crowd dynamics and its dissipative kinematics represent diffusion processes on the crowd manifold governed by the Ricci flow. Keywords: Crowd behavior dynamics, action--amplitude formalism, entropic crowd manifold, crowd turbulence, Ricci flow, topological phase transitions.
Aidman Eugene V.
Ivancevic Vladimir G.
Reid Darryn J.
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