The University of Southampton
University of Southampton Institutional Repository

Designing a successful trading agent using fuzzy techniques

Designing a successful trading agent using fuzzy techniques
Designing a successful trading agent using fuzzy techniques
Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what auctions. They can do this continuously and repetitively without losing concentration. To provide a means of evaluating and comparing (benchmarking) research methods in this area the Trading Agent Competition (TAC) was established. This competition involves a number of agents bidding against one another in a number of related auctions (operating different protocols) to purchase travel packages for customers. Against this background, this paper describes the design, implementation and evaluation of Southampton- TAC, one of the most successful participants in both the Second and the Third International Competitions. Our agent uses fuzzy techniques at the heart of its decision making: to make bidding decisions in the face of uncertainty, to make predictions about the likely outcomes of auctions, and to alter the agent’s bidding strategy in response to the prevailing market conditions. Keywords: intelligent agents, fuzzy set, fuzzy reasoning, on-line auctions, trading agent competition.
389-410
He, M.
414070d3-f81b-455f-86ac-a11370fb36e3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
He, M.
414070d3-f81b-455f-86ac-a11370fb36e3
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

He, M. and Jennings, N. R. (2004) Designing a successful trading agent using fuzzy techniques. IEEE Trans on Fuzzy Systems, 12 (3), 389-410.

Record type: Article

Abstract

Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what auctions. They can do this continuously and repetitively without losing concentration. To provide a means of evaluating and comparing (benchmarking) research methods in this area the Trading Agent Competition (TAC) was established. This competition involves a number of agents bidding against one another in a number of related auctions (operating different protocols) to purchase travel packages for customers. Against this background, this paper describes the design, implementation and evaluation of Southampton- TAC, one of the most successful participants in both the Second and the Third International Competitions. Our agent uses fuzzy techniques at the heart of its decision making: to make bidding decisions in the face of uncertainty, to make predictions about the likely outcomes of auctions, and to alter the agent’s bidding strategy in response to the prevailing market conditions. Keywords: intelligent agents, fuzzy set, fuzzy reasoning, on-line auctions, trading agent competition.

Text
tfs-04.pdf - Other
Download (836kB)

More information

Published date: 2004
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 258577
URI: http://eprints.soton.ac.uk/id/eprint/258577
PURE UUID: b4d0a415-cc14-428d-abae-3a07e0e2c41c

Catalogue record

Date deposited: 06 Sep 2004
Last modified: 14 Mar 2024 06:11

Export record

Contributors

Author: M. He
Author: N. R. Jennings

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×