We propose an evolutionary approach for studying strategic agents that interact in electronic marketplaces. We describe how this approach can be used when agents' strategies are based on different methodologies, employing incompatible rules for collecting information and for reproduction. We present experimental results from a simulated market, where multiple service providers compete for customers using different deployment and pricing schemes. The results show that heterogeneous strategies evolve in the same market and provide useful research data.
|Original language||English (US)|
|Number of pages||12|
|Journal||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|
|State||Published - Dec 1 2004|