Designing an automated negotiator: learning what to bid and when to stop
Designing an automated negotiator: learning what to bid and when to stop
In this paper, the ongoing research of the author on designing an automated negotiator is described. One of the key challenges of designing a successful negotiation agent is that usually only limited information is available about the other party. Therefore, we need to combine various learning techniques to decide what offers to make, and when to accept. Our goal is to investigate techniques for developing a versatile automated negotiator that can effectively conduct negotiations in an incomplete information setting.
artificial intelligence, machine learning, negotiation
978-1-4503-1993-5
1419-1420
International Foundation for Autonomous Agents and Multiagent Systems
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
2013
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Baarslag, Tim
(2013)
Designing an automated negotiator: learning what to bid and when to stop.
In Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems.
International Foundation for Autonomous Agents and Multiagent Systems.
.
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Conference or Workshop Item
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Abstract
In this paper, the ongoing research of the author on designing an automated negotiator is described. One of the key challenges of designing a successful negotiation agent is that usually only limited information is available about the other party. Therefore, we need to combine various learning techniques to decide what offers to make, and when to accept. Our goal is to investigate techniques for developing a versatile automated negotiator that can effectively conduct negotiations in an incomplete information setting.
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Designing an Automated Negotiator - Learning What to Bid and when to Stop.pdf
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Published date: 2013
Venue - Dates:
AAMAS 13, St Paul, United States, 2013-05-06 - 2013-05-10
Keywords:
artificial intelligence, machine learning, negotiation
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 374468
URI: http://eprints.soton.ac.uk/id/eprint/374468
ISBN: 978-1-4503-1993-5
PURE UUID: 4df6abd3-8343-412f-af8c-fdb3acdb3a7d
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Date deposited: 18 Feb 2015 14:36
Last modified: 14 Mar 2024 19:07
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Contributors
Author:
Tim Baarslag
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