The significance of bidding, accepting and opponent modeling in automated negotiation
The significance of bidding, accepting and opponent modeling in automated negotiation
Given the growing interest in automated negotiation, the search for effective strategies has produced a variety of different negotiation agents. Despite their diversity, there is a common structure to their design. A negotiation agent comprises three key components: the bidding strategy, the opponent model and the acceptance criteria. We show that this three-component view of a negotiating architecture not only provides a useful basis for developing such agents but also provides a useful analytical tool. By combining these components in varying ways, we are able to demonstrate the contribution of each component to the overall negotiation result, and thus determine the key contributing components. Moreover, we are able to study the interaction between components and present detailed interaction effects. Furthermore, we find that the bidding strategy in particular is of critical importance to the negotiator's success and far exceeds the importance of opponent preference modeling techniques. Our results contribute to the shaping of a research agenda for negotiating agent design by providing guidelines on how agent developers can spend their time most effectively.
27-32
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Dirkzwager, Alexander
1a4c9a1f-befc-4abb-b52d-4bcf6410040d
Hindriks, Koen V.
04b551cd-49a6-49cf-9c83-e1a19317eb0d
Jonker, Catholijn M.
b55441b1-d0fb-49f7-9a09-9375a9201fd0
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Dirkzwager, Alexander
1a4c9a1f-befc-4abb-b52d-4bcf6410040d
Hindriks, Koen V.
04b551cd-49a6-49cf-9c83-e1a19317eb0d
Jonker, Catholijn M.
b55441b1-d0fb-49f7-9a09-9375a9201fd0
Baarslag, Tim, Dirkzwager, Alexander, Hindriks, Koen V. and Jonker, Catholijn M.
(2014)
The significance of bidding, accepting and opponent modeling in automated negotiation.
ECAI2014: 21st European Conference on Artificial Intelligence, Praha, Czech Republic.
18 - 24 Aug 2014.
.
(doi:10.3233/978-1-61499-419-0-27).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Given the growing interest in automated negotiation, the search for effective strategies has produced a variety of different negotiation agents. Despite their diversity, there is a common structure to their design. A negotiation agent comprises three key components: the bidding strategy, the opponent model and the acceptance criteria. We show that this three-component view of a negotiating architecture not only provides a useful basis for developing such agents but also provides a useful analytical tool. By combining these components in varying ways, we are able to demonstrate the contribution of each component to the overall negotiation result, and thus determine the key contributing components. Moreover, we are able to study the interaction between components and present detailed interaction effects. Furthermore, we find that the bidding strategy in particular is of critical importance to the negotiator's success and far exceeds the importance of opponent preference modeling techniques. Our results contribute to the shaping of a research agenda for negotiating agent design by providing guidelines on how agent developers can spend their time most effectively.
Text
The Significance of Bidding, Accepting and Opponent Modeling-pub.pdf
- Other
More information
e-pub ahead of print date: August 2014
Venue - Dates:
ECAI2014: 21st European Conference on Artificial Intelligence, Praha, Czech Republic, 2014-08-18 - 2014-08-24
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 373067
URI: http://eprints.soton.ac.uk/id/eprint/373067
PURE UUID: 73e36f81-58ab-4ce4-a87f-a7ad131e8403
Catalogue record
Date deposited: 07 Jan 2015 13:34
Last modified: 14 Mar 2024 18:47
Export record
Altmetrics
Contributors
Author:
Tim Baarslag
Author:
Alexander Dirkzwager
Author:
Koen V. Hindriks
Author:
Catholijn M. Jonker
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