Opponent's Preference Estimation Considering Their Offer Transition in Multi-Issue Closed Negotiations-Reference-Cited by-同舟云学术

Opponent's Preference Estimation Considering Their Offer Transition in Multi-Issue Closed Negotiations

Published:2020-12-01 Issue:12 Volume:E103.D Page:2531-2539
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

HOSOKAWA Yuta¹,FUJITA Katsuhide²

Affiliation:

1. Department of Computer and Information Sciences, Graduate School of Engineering, Tokyo University of Agriculture and Technology

2. Division of Advanced Information Technology and Computer Science, Institute of Engineering, Tokyo University of Agriculture and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020SAP0001/_pdf

Reference19 articles.

1. [1] S. Fatima, S. Kraus, and M. Wooldridge, Principles of automated negotiation, Cambridge University Press, 2014. 10.1017/CBO9780511751691

2. [2] N.R. Jennings, P. Faratin, A.R. Lomuscio, S. Parsons, M.J. Wooldridge, and C. Sierra, “Automated negotiation: prospects, methods and challenges,” Group Decision and Negotiation, vol.10, no.2, pp.199-215, 2001. 10.1023/A:1008746126376

3. [3] R. Aydogan, T. Baarslag, K. Fujita, C. Jonker, and J. Mell, “The tenth international automated negotiating agents competition (anac2019),” http://web.tuat.ac.jp/~katfuji/ANAC2019/, 2019.

4. [4] R. Aydogan, T. Baarslag, K. Fujita, T. Ito, C. Jonker, D. de Jonge, and J. Mell, “The ninth international automated negotiating agents competition (anac2018),” http://web.tuat.ac.jp/~katfuji/ANAC2018/, 2018.

5. [5] T. Ito, C. Jonker, R. Aydogan, T. Baarslag, K. Fujita, S. Morinaga, S. Nakadai, T. Yoshida, and Y. Mohammad, “Pacific Rim International Automated Negotiation Agents Competition (PRIANAC),” http://web.tuat.ac.jp/~katfuji/PRIANAC2018/, 2018.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. COMB: Scalable Concession-Driven Opponent Models Using Bayesian Learning for Preference Learning in Bilateral Multi-Issue Automated Negotiation;Group Decision and Negotiation;2024-05-27

2. Conflict-based negotiation strategy for human-agent negotiation;Applied Intelligence;2023-11-03

3. Improving Agent Decision Payoffs via a New Framework of Opponent Modeling;Mathematics;2023-07-11