(Enter summary)
Abstract: In this paper we describe a simple model of adaptive agents
of dierent 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" }
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