Algorithms for Trade Modeling with Agent-Based Systems

Monica Dascalu; Lucian Milea; Gabriela Ivanus; Mihail Teodorescu; Eduard Franti

doi:doi:10.11648/j.ijiis.20130205.13

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Algorithms for Trade Modeling with Agent-Based Systems

Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti

Published in International Journal of Intelligent Information Systems (Volume 2, Issue 5)

Received: 7 October 2013 Accepted: Published: 30 October 2013

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Abstract

This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.

Published in	International Journal of Intelligent Information Systems (Volume 2, Issue 5)
DOI	10.11648/j.ijiis.20130205.13
Page(s)	87-93
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cellular Automata, Agent-Based Systems, Trade Modeling

References

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[12]	P.O. Siebers, U. Aickelin, H. Celia, and C. W. Clegg. "Using intelligent agents to understand management practices and retail productivity". In S. G. Henderson et al., editors, Proceedings of the 2007 Winter Simulation Conference (WSC2007). Washington D.C., USA, forthcoming.
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APA Style

Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti. (2013). Algorithms for Trade Modeling with Agent-Based Systems. International Journal of Intelligent Information Systems, 2(5), 87-93. https://doi.org/10.11648/j.ijiis.20130205.13

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ACS Style

Monica Dascalu; Lucian Milea; Gabriela Ivanus; Mihail Teodorescu; Eduard Franti. Algorithms for Trade Modeling with Agent-Based Systems. Int. J. Intell. Inf. Syst. 2013, 2(5), 87-93. doi: 10.11648/j.ijiis.20130205.13

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AMA Style

Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti. Algorithms for Trade Modeling with Agent-Based Systems. Int J Intell Inf Syst. 2013;2(5):87-93. doi: 10.11648/j.ijiis.20130205.13

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@article{10.11648/j.ijiis.20130205.13,
  author = {Monica Dascalu and Lucian Milea and Gabriela Ivanus and Mihail Teodorescu and Eduard Franti},
  title = {Algorithms for Trade Modeling with Agent-Based Systems},
  journal = {International Journal of Intelligent Information Systems},
  volume = {2},
  number = {5},
  pages = {87-93},
  doi = {10.11648/j.ijiis.20130205.13},
  url = {https://doi.org/10.11648/j.ijiis.20130205.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20130205.13},
  abstract = {This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.},
 year = {2013}
}

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TY  - JOUR
T1  - Algorithms for Trade Modeling with Agent-Based Systems
AU  - Monica Dascalu
AU  - Lucian Milea
AU  - Gabriela Ivanus
AU  - Mihail Teodorescu
AU  - Eduard Franti
Y1  - 2013/10/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijiis.20130205.13
DO  - 10.11648/j.ijiis.20130205.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 87
EP  - 93
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20130205.13
AB  - This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.
VL  - 2
IS  - 5
ER  -

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Author Information

Monica Dascalu

Politehnica University of Bucharest, Romania
Lucian Milea

Solaris Consult S.R.L., Bucharest, Romania
Gabriela Ivanus

Politehnica University of Bucharest, Romania
Mihail Teodorescu

Research Institute for Artificial Intelligence, Bucuresti, Romania
Eduard Franti

Research Institute for Artificial Intelligence, Bucuresti, Romania

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Plain Text BibTeX RIS

APA Style

Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti. (2013). Algorithms for Trade Modeling with Agent-Based Systems. International Journal of Intelligent Information Systems, 2(5), 87-93. https://doi.org/10.11648/j.ijiis.20130205.13

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ACS Style

Monica Dascalu; Lucian Milea; Gabriela Ivanus; Mihail Teodorescu; Eduard Franti. Algorithms for Trade Modeling with Agent-Based Systems. Int. J. Intell. Inf. Syst. 2013, 2(5), 87-93. doi: 10.11648/j.ijiis.20130205.13

Copy | Download

AMA Style

Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti. Algorithms for Trade Modeling with Agent-Based Systems. Int J Intell Inf Syst. 2013;2(5):87-93. doi: 10.11648/j.ijiis.20130205.13

Copy | Download

@article{10.11648/j.ijiis.20130205.13,
  author = {Monica Dascalu and Lucian Milea and Gabriela Ivanus and Mihail Teodorescu and Eduard Franti},
  title = {Algorithms for Trade Modeling with Agent-Based Systems},
  journal = {International Journal of Intelligent Information Systems},
  volume = {2},
  number = {5},
  pages = {87-93},
  doi = {10.11648/j.ijiis.20130205.13},
  url = {https://doi.org/10.11648/j.ijiis.20130205.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20130205.13},
  abstract = {This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Algorithms for Trade Modeling with Agent-Based Systems
AU  - Monica Dascalu
AU  - Lucian Milea
AU  - Gabriela Ivanus
AU  - Mihail Teodorescu
AU  - Eduard Franti
Y1  - 2013/10/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijiis.20130205.13
DO  - 10.11648/j.ijiis.20130205.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 87
EP  - 93
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20130205.13
AB  - This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.
VL  - 2
IS  - 5
ER  -

Copy | Download