The use of multi-agent systems for modeling technological processes

Sergey Petrovich Bobkov,Irina Aleksandrovna Astrakhantseva

doi:10.1088/1742-6596/2001/1/012002

Sergey Petrovich Bobkov, Irina Aleksandrovna Astrakhantseva

Open Access

https://doi.org/10.1088/1742-6596/2001/1/012002

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Abstract

The article is devoted to the issues of using discrete simulation models for modeling some basic technological processes. In the scientific work, models in the form of multi-agent systems have been investigated, which allow us to consider a continuous environment as a set of interacting elements (agents), the behavior of which obeys local functions. The authors describe the basic techniques and general methodology for the development of deterministic agent-based models. The paper considers the use of multi-agent systems for modeling thermal conductivity, taking into account the nonlinearity of the process, in homogeneity of the material and the presence of volumetric heat sources of variable power in it. The obtained scientific results are in good agreement with the generally accepted classical approaches and do not contradict the provisions adopted in the theory of thermal phenomena.

Highlights

The article is devoted to the issues of using discrete simulation models for modeling some basic technological processes
In recent years, for modeling many basic technological processes and systems, simulation approaches have begun to be used, which are based on a discrete consideration of objects and phenomena [1]
Among the methods that use discretization of time and space, agent-based modeling plays a significant role. It investigates the individual behavior of elementary subsystems that make up a large system [2; 3]

Summary

Introduction

Models in the form of multi-agent systems have been investigated, which allow us to consider a continuous environment as a set of interacting elements (agents), the behavior of which obeys local functions. 1. Introduction In recent years, for modeling many basic technological processes and systems, simulation approaches have begun to be used, which are based on a discrete consideration of objects and phenomena [1].

Results

Conclusion