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Novel Intelligent Agent-Based System for Study of Trade

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Abstract

In this paper a novel intelligent agent-based system (rule-based system) on the basis of the sugarscape agent-based system(Epstein and Axtell 1996) forc the study of trade is developed introducing the architectures of hybrid clusters and peer to peer(Hybrid P2P) computer networks (Buyya 2002). It is confirmed by simulations that the sugarspace with the architecture of hybrid P2Pcomputer networks is the most efficient and flexible among the sugar-space without trade, the sugarspace with the architecture of clusters computer networks (Clusters), and the sugarspace with the architecture of P2P computer networks (Pure P2P). This developed agent-based system (rule-based system) is also more efficient and flexible than our developed agent-based system using artificial immune networks (Dote 2001).

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References

  1. Buyya, R.: Convergence Characteristics for Clusters, Grids, and P2PNetworks, Panel Discussion. In: The Second IEEE International Conference on Peer to Peer to Computing(Use of Computers at the Edge of Networks), Linkoping, Sweden, September 5–7 (2002)

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  2. Dote, Y.: Diagnosis and Control for Multi-Agent Systems Using Immune Networks, Plenary Presentation. In: The 6th Online World Conference on Soft Computing in Indutrial Applications, Septmber 10–24 (2001)

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  3. Epstein, J., Axtell, R.: Growing Artificial Societies. THE BROOKINGS INSTITUTION, Washington, D.C (1996)

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© 2004 Springer-Verlag Berlin Heidelberg

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Ikai, T., Yoneyama, M., Dote, Y. (2004). Novel Intelligent Agent-Based System for Study of Trade. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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