Swinburne
Browse

On the use of surplus division to facilitate efficient negotiation in the presence of incomplete information

Download (217.98 kB)
conference contribution
posted on 2024-07-12, 17:46 authored by Bao Quoc VoBao Quoc Vo, Trong Hieu Tran, Thi Hong Khanh Nguyen
Classic results in game theory state that private information is a cause for a negotiation to end with suboptimal outcome. Subsequently, private information is a compelling explanation for the frequent occurrence of negotiation breakdowns or costly delays. In this paper, we propose a mechanism for improving efficiency of negotiation outcome for multilateral negotiations with incomplete information (i.e., negotiators holding private information). This objective is achieved by introducing biased distribution of the resulting surplus created by the negotiators’ joint offers to prevent negotiators from misrepresenting their valuations of the negotiation outcomes. Our mechanism is based on rewarding concession-making agents with larger shares of the obtainable surplus. We show that the probabilities that the agents with private information make concession are accordingly increased. This allows for better efficiency to be achieved.

History

Available versions

PDF (Published version)

ISSN

1877-0509

Journal title

Procedia Computer Science: 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES2016), York, United Kingdom, 5-7 September 2016

Conference name

Procedia Computer Science: 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems KES2016, York, United Kingdom, 5-7 September 2016

Volume

96

Pagination

9 pp

Publisher

Elsevier

Copyright statement

Copyright © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC