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An Adaptive Agent Based Economic Model (2000)  (Make Corrections)  (5 citations)
Sonia Schulenburg, Peter Ross
Lecture Notes in Computer Science



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Abstract: In this paper we describe a simple model of adaptive agents of di erent types, represented by Learning Classi er Systems (LCS), which make investment decisions about a risk free bond and a risky asset under a well de ned stock market environment. Our main aim is to explore the degree of reliability that arti cially intelligent agents can have when applied to real life economic problems. We do this by evaluating whether an LCS is able to represent competent traders in a real market... (Update)

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BibTeX entry:   (Update)

Sonia Schulenburg and Peter Ross. An Adaptive Agent Based Economic Model. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classier Systems: From Foundations to Applications, volume 1813 of LNAI, pages 265-284. Springer-Verlag, Berlin, 2000. http://citeseer.ist.psu.edu/schulenburg00adaptive.html   More

@article{ schulenburg00adaptive,
    author = "Sonia Schulenburg and Peter Ross",
    title = "An Adaptive Agent Based Economic Model",
    journal = "Lecture Notes in Computer Science",
    volume = "1813",
    pages = "263--??",
    year = "2000",
    url = "citeseer.ist.psu.edu/schulenburg00adaptive.html" }
Citations (may not include all citations):
1051   Optimization and Machine Learning (context) - Goldberg, in - 1989
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75   Cognitive systems based on adaptive algorithms (context) - Holland, Reitman - 1998
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1   An arti cial stock market (context) - Palmer, Arthur et al. - 1999
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