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Auction-based e-commerce is an increasingly interesting domain for developing trading agents competing in multi-agent electronic markets.
We present a framework for defining trading scenarios based on fish market auctions. In these scenarios, trading (buyer and seller) heterogeneous (human and software) agents of arbitrary complexity participate in auctions under a collection of standardized market conditions and are evaluated against their actual market performance. We argue that such competitive situations constitute convenient problem domains in which to study issues related with agent architectures in general and agent-based trading strategies in particular.
The proposed framework, FM, constitutes a test-bed for trading agents in auction tournament environments.
This users' guide will attempt at illustrating how to generate, activate, and record auction-based tournaments with the aid of FM.