A METHODOLOGY FOR THE DETERMINATION OF THE MODELS OF SOFT SYSTEMS BY MEANS OF INTELLIGENT AGENTS

Abstract

A methodology for determining models of a soft and ill-defined system is dealt with. The approach outlined is based on the model reconstruction by intelligent agents monitoring the trajectory of model behavior and reconstructing it to obtain models describing the real systems to be simulated. The methodology that has already proven its value by solving problems in various fields by applying it using a simulation system where it was implemented is dealt with. It is shown how effects among the various model elements can be tuned. This methodology may be of significant value in the field of micro- and macro-economy. The application of the procedure is illustrated on a small example utilizing high level Petri nets in an unconventional way.