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An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach

An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach
An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach
This paper presents the design, implementation and evaluation of a novel bidding strategy for obtaining goods in multiple overlapping English auctions. The strategy uses fuzzy sets to express trade-offs between multi-attribute goods and exploits neuro-fuzzy techniques to predict the expected closing prices of the auctions and to adapt the gent’s bidding strategy to reflect the type of environment in which it is situated. We show, through empirical evaluation against a number of methods proposed in the multiple auction literature, that our strategy performs effectively and robustly in a wide range of scenarios.
1519-1524
He, M.
414070d3-f81b-455f-86ac-a11370fb36e3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Prugel-Bennett, A.
b107a151-1751-4d8b-b8db-2c395ac4e14e
He, M.
414070d3-f81b-455f-86ac-a11370fb36e3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Prugel-Bennett, A.
b107a151-1751-4d8b-b8db-2c395ac4e14e

He, M., Jennings, N. R. and Prugel-Bennett, A. (2004) An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach. IEEE Conference on Fuzzy Systems, Budapest, Hungary. pp. 1519-1524 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents the design, implementation and evaluation of a novel bidding strategy for obtaining goods in multiple overlapping English auctions. The strategy uses fuzzy sets to express trade-offs between multi-attribute goods and exploits neuro-fuzzy techniques to predict the expected closing prices of the auctions and to adapt the gent’s bidding strategy to reflect the type of environment in which it is situated. We show, through empirical evaluation against a number of methods proposed in the multiple auction literature, that our strategy performs effectively and robustly in a wide range of scenarios.

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More information

Published date: 2004
Venue - Dates: IEEE Conference on Fuzzy Systems, Budapest, Hungary, 2004-01-01
Organisations: Agents, Interactions & Complexity, Southampton Wireless Group

Identifiers

Local EPrints ID: 259556
URI: http://eprints.soton.ac.uk/id/eprint/259556
PURE UUID: 12fc155a-d990-451b-bdeb-8c38b5d24142

Catalogue record

Date deposited: 29 Jul 2004
Last modified: 14 Mar 2024 06:26

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Contributors

Author: M. He
Author: N. R. Jennings
Author: A. Prugel-Bennett

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