Agents learned, but do we? Knowledge discovery using the agent-based double auction markets
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- @Article{Chen:2011:frontierEE,
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author = "Shu-Heng Chen and Tina Yu",
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title = "Agents learned, but do we? Knowledge discovery using
the agent-based double auction markets",
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journal = "Frontiers of Electrical and Electronic Engineering in
China",
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year = "2011",
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volume = "6",
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number = "1",
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pages = "159--170",
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month = mar,
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keywords = "genetic algorithms, genetic programming, agent-based
double auction markets, autonomous agents, bargaining
strategies, monopsony, procrastination strategy",
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ISSN = "1673-3584",
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URL = "http://www.cs.mun.ca/~tinayu/Publications_files/frontierEE.pdf",
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URL = "http://dx.doi.org/10.1007/s11460-011-0132-4",
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DOI = "doi:10.1007/s11460-011-0132-4",
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size = "12 pages",
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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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notes = "Department of Economics, Chengchi University, Taipei",
- }
Genetic Programming entries for
Shu-Heng Chen
Tina Yu
Citations