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Generating Bayes-Nash equilibria to design autonomous trading agents.

Generating Bayes-Nash equilibria to design autonomous trading agents.
Generating Bayes-Nash equilibria to design autonomous trading agents.
This paper presents a methodology for designing trading agents for complex games. We compute, for the first time, Bayes-Nash equilibria for firstprice single-unit auctions and mth-price multi-unit auctions, when the auction has a set of possible closing times, one of which is chosen randomly for the auction to end at. To evaluate this approach we used our analysis to generate strategies for the International Trading Agent Competition. One of these was evaluated as the best overall and was subsequently used very successfully by our agent WhiteBear in the 2005 competition.
1543-1550
Vetsikas, I.
a9cbe287-d30c-4651-a69f-d5b1dc681d87
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Selman, B.
9680b8b6-b0e6-4eb7-973d-8e482906b16f
Vetsikas, I.
a9cbe287-d30c-4651-a69f-d5b1dc681d87
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Selman, B.
9680b8b6-b0e6-4eb7-973d-8e482906b16f

Vetsikas, I., Jennings, N. R. and Selman, B. (2007) Generating Bayes-Nash equilibria to design autonomous trading agents. 20th International Joint Conference on Artificial Intelligence (IJCAI), India. pp. 1543-1550 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents a methodology for designing trading agents for complex games. We compute, for the first time, Bayes-Nash equilibria for firstprice single-unit auctions and mth-price multi-unit auctions, when the auction has a set of possible closing times, one of which is chosen randomly for the auction to end at. To evaluate this approach we used our analysis to generate strategies for the International Trading Agent Competition. One of these was evaluated as the best overall and was subsequently used very successfully by our agent WhiteBear in the 2005 competition.

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More information

Published date: 2007
Venue - Dates: 20th International Joint Conference on Artificial Intelligence (IJCAI), India, 2007-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 264226
URI: https://eprints.soton.ac.uk/id/eprint/264226
PURE UUID: cc47940b-b32a-43b5-b1de-618d8b40cec5

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Date deposited: 22 Jun 2007
Last modified: 14 Oct 2019 19:14

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Contributors

Author: I. Vetsikas
Author: N. R. Jennings
Author: B. Selman

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