An evolutionary framework for studying behaviors of economic agents

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An evolutionary framework for studying behaviors of economic agents

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International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents

Melbourne, Australia

POSTER SESSION: Posters table of contents

Pages: 1030 - 1031

Year of Publication: 2003

ISBN:1-58113-683-8

Authors

Wolfgang Ketter	University of Minnesota, Duluth, MN
Alexander Babanov	University of Minnesota, Duluth, MN
Maria Gini	University of Minnesota, Duluth, MN

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

We propose an evolutionary framework for studying agents that interact in electronic marketplaces and describe how to use the framework to study the dynamics of interaction and evolution of agent strategies. We present experimental results from a simulated market, where service providers compete for customers using multiple strategies. The results show how service providers of different strategies adapt to occupy distinct niches in the market.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	R. M. Axelrod. The evolution of cooperation Basc Books, 1984.
	2	A. Babanov, W. Ketter, and M. Gini. An evolutionary framework for large-scale experimentation in multi-agent systems. In T.Wagner, editor, MAS Problem Spaces and Their Implications to Achieving Globally Coherent Behavior Kluwer, 2003.
	3	Leigh Tesfatsion, Agent-Based Computational Economics: Growing Economies From the Bottom Up, Artificial Life, v.8 n.1, p.55-82, March 2002 [doi>10.1162/106454602753694765]