Presentation 2019-07-22
Bandit-Based Strategy Selection for Multi-Time Negotiation
Ryohei Kawata, Katsuhide Fujita,
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Abstract(in English) Multi-time negotiation which repeats negotiations many times under the same conditions is an important class of automated negotiation. In this paper, we discuss strategies of negotiating agents in the multi-time negotiation problem. We propose a meta-negotiation strategy based on multi-armed bandit algorithm. In addition, we implement a negotiating agent that adopts our method and evaluate the effectiveness of the meta-negotiation strategy in multi-time negotiation problem.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) automated negotiation / multi-time negotiation / meta-negotiation strategy
Paper # AI2019-11
Date of Issue 2019-07-15 (AI)

Conference Information
Committee AI
Conference Date 2019/7/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English)
Chair Naoki Fukuta(Shizuoka Univ.)
Vice Chair Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST)
Secretary Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology)
Assistant

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bandit-Based Strategy Selection for Multi-Time Negotiation
Sub Title (in English)
Keyword(1) automated negotiation
Keyword(2) multi-time negotiation
Keyword(3) meta-negotiation strategy
1st Author's Name Ryohei Kawata
1st Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
2nd Author's Name Katsuhide Fujita
2nd Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
Date 2019-07-22
Paper # AI2019-11
Volume (vol) vol.119
Number (no) AI-139
Page pp.pp.57-62(AI),
#Pages 6
Date of Issue 2019-07-15 (AI)