Collective voice of experts in multilateral negotiation

Name: Collective voice of experts in multilateral negotiation
Author: Güneş, Taha Doğan, Arditi, Emir, Aydoğan, Reyhan

İsim	Collective voice of experts in multilateral negotiation
Yazar	Güneş, Taha Doğan, Arditi, Emir, Aydoğan, Reyhan
Basım Tarihi:	2017
Basım Yeri	- Springer International Publishing
Konu	Agreement technologies, Automated negotiation, Multilateral negotiation, Negotiation Competition, Multi-agent systems
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-3-319-69130-5
Kayıt Numarası	5b892375-91ef-4406-a8eb-1a8fe7c7e9d6
Lokasyon	Computer Science
Tarih	2017
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1007/978-3-319-69131-2_27
Cilt	10621

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

Collective voice of experts in multilateral negotiation

Yazar Güneş, Taha Doğan, Arditi, Emir, Aydoğan, Reyhan

Basım Tarihi 2017

Basım Yeri - Springer International Publishing

Konu Agreement technologies, Automated negotiation, Multilateral negotiation, Negotiation Competition, Multi-agent systems

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-3-319-69130-5

Kayıt Numarası 5b892375-91ef-4406-a8eb-1a8fe7c7e9d6

Lokasyon Computer Science

Tarih 2017

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1007/978-3-319-69131-2_27

Cilt 10621