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Authors: Jianlong Cai ; Jieyu Zhan and Yuncheng Jiang

Affiliation: Guangzhou Key Laboratory of Big Data and Intelligent Education, School of Computer Science, South China Normal University, Guangzhou, China

Keyword(s): CP-nets, Automated Negotiation, Preference Completion, Incomplete Information.

Abstract: Automated negotiation is a process in which autonomous agents negotiate with the opponents to achieve some specific purposes for their users, such as maximising the users’ benefits. CP-net is one of the most important representations of user preferences in automated negotiation due to its ability and flexibility to express interdependent relationship among issues. In order to be able to negotiate better on behalf of users, a negotiating agent needs to fully understand its user’s preferences, so that it can adopt suitable negotiation strategies and obtain ideal negotiation results. However, the preference information provided to the negotiating agents by the users is often incomplete. Hence, based on partial preference information provided, this paper proposes a module in negotiation framework to complete user total preferences that are represented by CP-nets. The experimental results show the validity of CP-nets structure learning algorithm in the proposed module and confirm that the module can help users achieve better agreements in negotiation. (More)

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Paper citation in several formats:
Cai, J., Zhan, J. and Jiang, Y. (2022). Completion of User Preference based on CP-nets in Automated Negotiation. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 383-390. DOI: 10.5220/0010909200003116

@conference{icaart22,
author={Jianlong Cai and Jieyu Zhan and Yuncheng Jiang},
title={Completion of User Preference based on CP-nets in Automated Negotiation},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2022},
pages={383-390},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010909200003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Completion of User Preference based on CP-nets in Automated Negotiation
SN - 978-989-758-547-0
IS - 2184-433X
AU - Cai, J.
AU - Zhan, J.
AU - Jiang, Y.
PY - 2022
SP - 383
EP - 390
DO - 10.5220/0010909200003116
PB - SciTePress

- Science and Technology Publications, Lda.
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