Vytelingum, P., Vetsikas, I., Shi, B. and Jennings, N. (2008) IAMwildCAT: The Winning Strategy for the TAC Market Design Competition. In: Proc. 18th European Conf on AI (ECAI), Patras, Greece. pp. 428-432.
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Abstract
In this paper we describe the IAMwildCAT agent, designed for the TAC Market Design game which is part of the International Trading Agent Competition. The objective of an agent
in this competition is to effectively manage and operate a market that attracts traders to compete for resources in it. This market, in turn, competes against markets operated by other competition entrants and the aim is to maximise the market and profit share of the agent, as well as its transaction success rate. To do this, the agent needs to continually monitor and adapt, in response to the competing marketplaces, the rules it uses to accept offers, clear the market, price the transactions and charge the traders. Given this context, this paper details IAMwildCAT’s strategic behaviour and describes the
wide techniques we developed to operationalise this. Finally, we empirically analyse our agent in different environments, including the 2007 competition where it ranked first.
| Creators: | Perukrishnen Vytelingum, Ioannis Vetsikas, Bing Shi, Nick Jennings |
|---|---|
| Item Type: | Conference or Workshop Item |
| Research Group: | Intelligence, Agents, Multimedia |
| Deposited On: | 11 Jun 2008 08:39 by Jennings, Nick |
| ID Code: | 15894 |
| Last Modified: | 18 Feb 2010 16:01 |
| Citations: | Google Scholar: 7 |
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