Multiagent models for forecasting and identifying production processes

Abstract

The article is devoted to the method for creating multiagent models for forecasting and identifying production processes using a structural parametric approach. Using multiagent simulation allows reflecting the state and dynamics of complex active systems of production processes with analysis and forecasting of the quality of the finished product. The methods and algorithms of the structural parametric approach to the implementation of an agent-based simulation model based on the system self-diagnosis are described.