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.
Original language | English (US) |
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Pages | 1030-1031 |
Number of pages | 2 |
DOIs | |
State | Published - 2003 |
Event | Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 - Melbourne, Vic., Australia Duration: Jul 14 2003 → Jul 18 2003 |
Other
Other | Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 |
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Country/Territory | Australia |
City | Melbourne, Vic. |
Period | 7/14/03 → 7/18/03 |
Keywords
- Adaptation and Learning
- Evolution