Distributed negotiation for collective decision-making

Ndeye Arame Diago; Samir Aknine; Sarvapali Ramchurn; Onn Shehory; Mbaye Sene

doi:10.1109/ICTAI.2017.00141

Distributed negotiation for collective decision-making

Ndeye Arame Diago, Samir Aknine, Sarvapali Ramchurn, Onn Shehory, Mbaye Sene

School of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Collective decision-making is a process in which participants make a collective choice from several alternatives. In this paper, we focus on collective decision contexts in which more than two selfish agents negotiate over multiple issues. We specifically consider a case of joint household energy purchase where the concerned households have to define a collective energy contract. The households involved may each be interested only in a subset of the issues at stake. We devise an effective protocol to regulate the interactions among the (household) agents and reduce their reasoning complexity. The mechanism we introduce is fully decentralized, it facilitates multi-lateral negotiation, and it reduces the complexity of the solution despite the inherent complexity of the problem.

Original language	English
Title of host publication	Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017
Publisher	IEEE Computer Society
Pages	913-920
Number of pages	8
ISBN (Electronic)	9781538638767
DOIs	https://doi.org/10.1109/ICTAI.2017.00141
State	Published - 2 Jul 2017
Event	29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 - Boston, United States Duration: 6 Nov 2017 → 8 Nov 2017

Publication series

Name	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume	2017-November
ISSN (Print)	1082-3409

Conference

Conference	29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
Country/Territory	United States
City	Boston
Period	6/11/17 → 8/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Alliances
Collective decision making
Groups
Multilaterale Negotiation

Access to Document

10.1109/ICTAI.2017.00141

Cite this

Diago, N. A., Aknine, S., Ramchurn, S., Shehory, O., & Sene, M. (2017). Distributed negotiation for collective decision-making. In Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017 (pp. 913-920). (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2017-November). IEEE Computer Society. https://doi.org/10.1109/ICTAI.2017.00141

@inproceedings{88330b2b915b4d26a26037c1e9416066,

title = "Distributed negotiation for collective decision-making",

abstract = "Collective decision-making is a process in which participants make a collective choice from several alternatives. In this paper, we focus on collective decision contexts in which more than two selfish agents negotiate over multiple issues. We specifically consider a case of joint household energy purchase where the concerned households have to define a collective energy contract. The households involved may each be interested only in a subset of the issues at stake. We devise an effective protocol to regulate the interactions among the (household) agents and reduce their reasoning complexity. The mechanism we introduce is fully decentralized, it facilitates multi-lateral negotiation, and it reduces the complexity of the solution despite the inherent complexity of the problem.",

keywords = "Alliances, Collective decision making, Groups, Multilaterale Negotiation",

author = "Diago, {Ndeye Arame} and Samir Aknine and Sarvapali Ramchurn and Onn Shehory and Mbaye Sene",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 ; Conference date: 06-11-2017 Through 08-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/ICTAI.2017.00141",

language = "אנגלית",

series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",

publisher = "IEEE Computer Society",

pages = "913--920",

booktitle = "Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017",

address = "ארצות הברית",

}

Diago, NA, Aknine, S, Ramchurn, S, Shehory, O & Sene, M 2017, Distributed negotiation for collective decision-making. in Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, vol. 2017-November, IEEE Computer Society, pp. 913-920, 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, United States, 6/11/17. https://doi.org/10.1109/ICTAI.2017.00141

Distributed negotiation for collective decision-making. / Diago, Ndeye Arame; Aknine, Samir; Ramchurn, Sarvapali et al.
Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017. IEEE Computer Society, 2017. p. 913-920 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Distributed negotiation for collective decision-making

AU - Diago, Ndeye Arame

AU - Aknine, Samir

AU - Ramchurn, Sarvapali

AU - Shehory, Onn

AU - Sene, Mbaye

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Collective decision-making is a process in which participants make a collective choice from several alternatives. In this paper, we focus on collective decision contexts in which more than two selfish agents negotiate over multiple issues. We specifically consider a case of joint household energy purchase where the concerned households have to define a collective energy contract. The households involved may each be interested only in a subset of the issues at stake. We devise an effective protocol to regulate the interactions among the (household) agents and reduce their reasoning complexity. The mechanism we introduce is fully decentralized, it facilitates multi-lateral negotiation, and it reduces the complexity of the solution despite the inherent complexity of the problem.

AB - Collective decision-making is a process in which participants make a collective choice from several alternatives. In this paper, we focus on collective decision contexts in which more than two selfish agents negotiate over multiple issues. We specifically consider a case of joint household energy purchase where the concerned households have to define a collective energy contract. The households involved may each be interested only in a subset of the issues at stake. We devise an effective protocol to regulate the interactions among the (household) agents and reduce their reasoning complexity. The mechanism we introduce is fully decentralized, it facilitates multi-lateral negotiation, and it reduces the complexity of the solution despite the inherent complexity of the problem.

KW - Alliances

KW - Collective decision making

KW - Groups

KW - Multilaterale Negotiation

UR - http://www.scopus.com/inward/record.url?scp=85048486261&partnerID=8YFLogxK

U2 - 10.1109/ICTAI.2017.00141

DO - 10.1109/ICTAI.2017.00141

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85048486261

T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

SP - 913

EP - 920

BT - Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017

PB - IEEE Computer Society

T2 - 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017

Y2 - 6 November 2017 through 8 November 2017

ER -

Distributed negotiation for collective decision-making

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this