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Toward an Autonomous-Agents Inspired Economic Analysis

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  • Shu-Heng Chen
  • Tina Yu

Abstract

This paper demonstrates the potential role of autonomous agents in economic theory. We first dispatch autonomous agents, built by genetic programming, to double auction markets. We then study the bargaining strategies discovered by them, and from there an autonomous-agent-inspired economic theory with regard to the optimal procrastination is derived.

Suggested Citation

  • Shu-Heng Chen & Tina Yu, 2011. "Toward an Autonomous-Agents Inspired Economic Analysis," ASSRU Discussion Papers 1118, ASSRU - Algorithmic Social Science Research Unit.
  • Handle: RePEc:trn:utwpas:1118
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    File URL: http://www.assru.economia.unitn.it/files/DP_6_2011_II.pdf
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    References listed on IDEAS

    as
    1. Rust, John & Miller, John H. & Palmer, Richard, 1994. "Characterizing effective trading strategies : Insights from a computerized double auction tournament," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 61-96, January.
    2. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    3. Richard H. Thaler, 2000. "From Homo Economicus to Homo Sapiens," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 133-141, Winter.
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    More about this item

    Keywords

    Agent-Based Double Auction Markets; Autonomous Agents; Genetic Programming; Bargaining Strategies; Monopsony; Procrastination Strategy;

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