Nonlinear Models for Economic Decision Processes

Using models, developed in one branch of science, to describe similar behaviors encountered in a different one, is the essence of a synergetic approach.

A wide range of topics has been developed including agent-based models, econophysics, socio-economic networks, information, bounded rationality and learning in economics, markets as complex adaptive systems — evolutionary economics, multiscale analysis and modeling, nonlinear dynamics and econometrics, physics of risk, statistical and probabilistic methods in economics and finance.

This publications concentrates on process behavior of economics systems and building models that stem from Haken's, Prigogine's Taylor's work as well as from nuclear physics models.