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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.

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File URL: http://www.assru.economia.unitn.it/files/DP_6_2011_II.pdf
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Bibliographic Info

Paper provided by ASSRU - Algorithmic Social Science Research Unit in its series ASSRU Discussion Papers with number 1118.

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Date of creation: 2011
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Handle: RePEc:trn:utwpas:1118

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Related research

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

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  1. Richard H. Thaler, 2000. "From Homo Economicus to Homo Sapiens," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 133-141, Winter.
  2. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics.
  3. 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.
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