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Collective voice of experts in multilateral negotiation

Collective voice of experts in multilateral negotiation
Collective voice of experts in multilateral negotiation
Inspired from the ideas such as “algorithm portfolio”, “mixture of experts”, and “genetic algorithm”, this paper presents two novel negotiation strategies, which combine multiple negotiation experts to decide what to bid and what to accept during the negotiation. In the first approach namely incremental portfolio, a bid is constructed by asking each negotiation agent’s opinion in the portfolio and picking one of the suggestions stochastically considering the expertise levels of the agents. In the second approach namely crossover strategy, each expert agent makes a bid suggestion and a majority voting is used on each issue value to decide the bid content. The proposed approaches have been evaluated empirically and our experimental results showed that the crossover strategy outperformed the top five finalists of the ANAC 2016 Negotiation Competition in terms of the obtained average individual utility.
450-458
Springer International Publishing
Gunes, Taha, Dogan
d250eea0-636d-41a8-96c0-a50813e4b780
Arditi, Emir
36962f0f-3d1c-4ac9-9983-d25d817836ef
Aydoğan, Reyhan
e9f5e1da-b66a-4877-b5ab-d0ea3319dfb3
Gunes, Taha, Dogan
d250eea0-636d-41a8-96c0-a50813e4b780
Arditi, Emir
36962f0f-3d1c-4ac9-9983-d25d817836ef
Aydoğan, Reyhan
e9f5e1da-b66a-4877-b5ab-d0ea3319dfb3

Gunes, Taha, Dogan, Arditi, Emir and Aydoğan, Reyhan (2017) Collective voice of experts in multilateral negotiation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10621, Springer International Publishing. pp. 450-458 . (doi:10.1007/978-3-319-69131-2_27).

Record type: Conference or Workshop Item (Paper)

Abstract

Inspired from the ideas such as “algorithm portfolio”, “mixture of experts”, and “genetic algorithm”, this paper presents two novel negotiation strategies, which combine multiple negotiation experts to decide what to bid and what to accept during the negotiation. In the first approach namely incremental portfolio, a bid is constructed by asking each negotiation agent’s opinion in the portfolio and picking one of the suggestions stochastically considering the expertise levels of the agents. In the second approach namely crossover strategy, each expert agent makes a bid suggestion and a majority voting is used on each issue value to decide the bid content. The proposed approaches have been evaluated empirically and our experimental results showed that the crossover strategy outperformed the top five finalists of the ANAC 2016 Negotiation Competition in terms of the obtained average individual utility.

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Collective Voice of Experts in Multilateral Negotiation - Accepted Manuscript
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Accepted/In Press date: 17 July 2017
e-pub ahead of print date: 5 October 2017

Identifiers

Local EPrints ID: 416578
URI: http://eprints.soton.ac.uk/id/eprint/416578
PURE UUID: 18fe1226-780d-4d87-b66b-1e503d03db67
ORCID for Taha, Dogan Gunes: ORCID iD orcid.org/0000-0003-2774-7027

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Date deposited: 03 Jan 2018 17:30
Last modified: 07 Oct 2020 05:56

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