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Optimal incremental preference elicitation during negotiation

Optimal incremental preference elicitation during negotiation
Optimal incremental preference elicitation during negotiation
The last two decades have seen a growing interest in the development of automated agents that are able to negotiate on the user's behalf. When representing a user in a negotiation, it is essential for the agent to understand the user's preferences, without exposing them to elicitation fatigue. To this end, we propose a new model in which a negotiating agent may incrementally elicit the user's preference during the negotiation. We introduce an optimal elicitation strategy that decides, at every stage of the negotiation, how much additional user information to extract at a certain cost. Finally, we demonstrate the effectiveness of our approach by combining our policy with well-known negotiation strategies and show that it significantly outperforms other elicitation strategies.
3-9
Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Gerding, Enrico H.
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Baarslag, Tim
a7c541d8-8141-467b-a08c-7a81cd69920e
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362

Baarslag, Tim and Gerding, Enrico H. (2015) Optimal incremental preference elicitation during negotiation. Twenty-fourth International Joint Conference on Artificial Intelligence, Argentina. 24 - 31 Jul 2015. pp. 3-9 . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The last two decades have seen a growing interest in the development of automated agents that are able to negotiate on the user's behalf. When representing a user in a negotiation, it is essential for the agent to understand the user's preferences, without exposing them to elicitation fatigue. To this end, we propose a new model in which a negotiating agent may incrementally elicit the user's preference during the negotiation. We introduce an optimal elicitation strategy that decides, at every stage of the negotiation, how much additional user information to extract at a certain cost. Finally, we demonstrate the effectiveness of our approach by combining our policy with well-known negotiation strategies and show that it significantly outperforms other elicitation strategies.

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More information

Accepted/In Press date: 2015
Venue - Dates: Twenty-fourth International Joint Conference on Artificial Intelligence, Argentina, 2015-07-24 - 2015-07-31
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 376474
URI: https://eprints.soton.ac.uk/id/eprint/376474
PURE UUID: ee70f249-16fe-4391-b6bb-83d44ec9d832
ORCID for Tim Baarslag: ORCID iD orcid.org/0000-0002-1662-3910
ORCID for Enrico H. Gerding: ORCID iD orcid.org/0000-0001-7200-552X

Catalogue record

Date deposited: 29 Apr 2015 13:39
Last modified: 07 Jun 2019 00:34

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