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Agent-based simulation of electronic marketplaces with decision support

Published: 16 March 2008 Publication History

Abstract

This paper presents a Multi-Agent Market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agents reactions.

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Faratin, P., Sierra, C. and Jennings, N. Negotiation Decision Functions for Autonomous Agents. Int. J. Robotics and Autonomous System, 24, 3, 1998, 159--182.
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Fatima, S., Wooldridge, M. and Jennings, N. An agenda-based framework for multi-issue negotiation. Artificial Intelligence Journal, 152, 1, 2004, 1--45.
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Greenwald, A. and Kephart, J. Shopbots and Pricebots. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence - IJCAI, Stockholm, 1999.
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Morris, J., Greenwald, A. and Maes, P. Learning Curve: A Simulation-based Approach to Dynamic Pricing. Electronic Commerce Research: Special Issue on Aspects of Internet Agent-based E-Business Systems. Kluwer Academic Publishers, 3, 3--4, 2003, 245--276.
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Praça, I., Ramos, C., Vale, Z. and Cordeiro, M. MASCEM: A Multiagent System that Simulates Competitive Electricity Markets. IEEE Intelligent Systems, 18, 6, (Nov/Dec 2003), 245--276.
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Praça, I., Ramos, C., Vale, Z. and Cordeiro, M. Intelligent Agents for Negotiation and Game-based Decision Support in Electricity Markets. In International Journal of Engineering Intelligent Systems, Special Issue "Intelligent Systems Application to Power Systems", 13, 2, 2005, 147--154.
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Quinlan, J. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Francisco, USA, 1993.
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Viamonte, M. J., Ramos, C., Rodrigues, F. and Cardoso, J. C. Simulating the Behaviour of Electronic MarketPlaces with an Agent-based Approach. In Proceedings of the "International Conference on Web Intelligence" - IEEE/WIC 2004, Beijing, China, 2004, 553--557.
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Viamonte, M. J., Ramos, C., Rodrigues, F. and Cardoso, J. C. ISEM: A Multi-Agent Simulator For Testing Agent Market Strategies. IEEE Transactions on Systems, Man and Cybernetics - Part C: Special Issue on Game-theoretic Analysis and Stochastic Simulation of Negotiation Agents, 36, 1, 2006, 107--113.
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Zhang, T., Ramakrishnon, R. and Livny, M. BIRCH: An Efficient Data Clustering Method for Very Large Databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, Montreal, Canada, 1996, 103--114.

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  1. Agent-based simulation of electronic marketplaces with decision support

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    cover image ACM Conferences
    SAC '08: Proceedings of the 2008 ACM symposium on Applied computing
    March 2008
    2586 pages
    ISBN:9781595937537
    DOI:10.1145/1363686
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    Publication History

    Published: 16 March 2008

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    Author Tags

    1. decision-making
    2. intelligent agents
    3. negotiation
    4. simulation

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    SAC '08: The 2008 ACM Symposium on Applied Computing
    March 16 - 20, 2008
    Fortaleza, Ceara, Brazil

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    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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