Modelling Complexity of Economic System with Multi-Agent Systems

Pavel Čech, Petr Tučník, Vladimír Bureš, Martina Husáková

2013

Abstract

Agent-based computational economics (ACE) is a multidisciplinary area using the agent-based approach for deeper understanding of economic phenomena occurring in the micro or macro-level. This paper investigates the application of multi-agent systems for modelling and simulation of virtual economy for research of self-organizing principles and adaptability of economic subjects. The proposed agent-based model uses four basic types of autonomous agents. Each one is responsible for crucial activity (consuming, production, mining, transporting) ensuring existence of the modelled virtual economy. Presented model is simplified in several aspects, for example banking operations or activities of government are not included in the model, but the model provides useful basis for the research of economic processes and progress of the city of Hradec Králové.

Paper Citation

in Harvard Style

Čech P., Tučník P., Bureš V. and Husáková M. (2013). Modelling Complexity of Economic System with Multi-Agent Systems . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013) ISBN 978-989-8565-75-4, pages 464-469. DOI: 10.5220/0004624304640469

in Bibtex Style

@conference{kmis13,
author={Pavel Čech and Petr Tučník and Vladimír Bureš and Martina Husáková},
title={Modelling Complexity of Economic System with Multi-Agent Systems},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013)},
year={2013},
pages={464-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004624304640469},
isbn={978-989-8565-75-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2013)
TI - Modelling Complexity of Economic System with Multi-Agent Systems
SN - 978-989-8565-75-4
AU - Čech P.
AU - Tučník P.
AU - Bureš V.
AU - Husáková M.
PY - 2013
SP - 464
EP - 469
DO - 10.5220/0004624304640469