摘要:In recent years, research in both mathematics and the applied sciences has produced a revolution in the understanding of nonlinear dynamical systems. Used widely in economics and other disciplines to model change over time, these systems are now known to be vulnerable to a kind of "chaotic" unpredictable behavior. This article places this revolution in historical context, discusses some of its implications for economic modeling, and explains many of the important mathematical ideas on which it is based.
关键词:limits to predictablity;nonlinear and chaotic dynamical systems;structural stability of economic models;fractals