This paper concerns a specific investigation into the use of genetic algorithms for determining optimal agent behaviour in each of a continuous family of auctions, including standard auctions that are in use today. The purpose of doing so is to allow a secondary layer of reasoning, regarding which such auction mechanism is most suitable for a given population of agents, to be fully or partially automated.
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