The University of Southampton
University of Southampton Institutional Repository

Knowledge-based acquisition of tradeoff preferences of negotiating agents

Knowledge-based acquisition of tradeoff preferences of negotiating agents
Knowledge-based acquisition of tradeoff preferences of negotiating agents
A wide range of algorithms have been developed for various types of automated egotiation. In developing such algorithms the main focus has been on their efficiency and their effectiveness. However, this is only part of the picture. Agents typically negotiate on behalf of their owners and for this to be effective the agent must be able to adequately represent the owners' preferences. However, the process by which such knowledge is acquired is typically left unspecified. To remove this shortcoming, we present a case study indicating how the knowledge for a particular negotiation algorithm can be acquired. More precisely, according to the analysis on the automated negotiation model, we identified that user trade-off preferences play a fundamental role in negotiation in general. This topic has been addressed little in the research area of user preference elicitation for general decision making problems as well. In a previous paper, we proposed an exhaustive method to acquire user trade-off preferences. In this paper, we developed another method to remove the limitation of the high user workload of the exhaustive method. Although we cannot say that it can exactly capture user trade-off preferences, it models the main commonalities of trade-off relations and re users' individualities as well.
138-144
Luo, X.
a883c26d-debf-44ce-9240-df70f65ddf53
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, N.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Luo, X.
a883c26d-debf-44ce-9240-df70f65ddf53
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, N.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Luo, X., Jennings, N. R. and Shadbolt, N. (2003) Knowledge-based acquisition of tradeoff preferences of negotiating agents. 5th International Conference on Electronic Commerce, Pittsburgh, United States. pp. 138-144 .

Record type: Conference or Workshop Item (Paper)

Abstract

A wide range of algorithms have been developed for various types of automated egotiation. In developing such algorithms the main focus has been on their efficiency and their effectiveness. However, this is only part of the picture. Agents typically negotiate on behalf of their owners and for this to be effective the agent must be able to adequately represent the owners' preferences. However, the process by which such knowledge is acquired is typically left unspecified. To remove this shortcoming, we present a case study indicating how the knowledge for a particular negotiation algorithm can be acquired. More precisely, according to the analysis on the automated negotiation model, we identified that user trade-off preferences play a fundamental role in negotiation in general. This topic has been addressed little in the research area of user preference elicitation for general decision making problems as well. In a previous paper, we proposed an exhaustive method to acquire user trade-off preferences. In this paper, we developed another method to remove the limitation of the high user workload of the exhaustive method. Although we cannot say that it can exactly capture user trade-off preferences, it models the main commonalities of trade-off relations and re users' individualities as well.

Text
icec-xudong.pdf - Other
Download (371kB)

More information

Published date: 2003
Additional Information: Event Dates: 2003
Venue - Dates: 5th International Conference on Electronic Commerce, Pittsburgh, United States, 2003-01-01
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 259569
URI: http://eprints.soton.ac.uk/id/eprint/259569
PURE UUID: ca91d840-a6d6-47fd-89f2-bb2d6a8c2df7

Catalogue record

Date deposited: 30 Jul 2004
Last modified: 25 Mar 2020 17:34

Export record

Contributors

Author: X. Luo
Author: N. R. Jennings
Author: N. Shadbolt

University divisions

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.

×