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Paper Abstract and Keywords
Presentation 2022-06-10 14:50
Optimal preference satisfaction for conflict-free joint decisions
Hiroaki Shinkawa, Nicolas Chauvet (Univ. Tokyo), Guillaume Bachelier (Univ. Grenoble Alpes), Andre Roehm, Ryoichi Horisaki, Makoto Naruse (Univ. Tokyo) NLP2022-20 CCS2022-20
Abstract (in Japanese) (See Japanese page) 
(in English) We all have preferences when multiple choices are available. If we insist on satisfying our preferences only, we may suffer a loss due to conflicts with other people’s identical selections. Such a case applies when the choice cannot be divided into multiple pieces due to the intrinsic nature of the resources. Former studies, such as the top trading cycle, examined how to conduct fair joint decision-making while avoiding decision conflicts from the perspective of game theory when multiple players have their own deterministic preference profiles. However, in reality, probabilistic preferences can naturally appear in relation to the stochastic decision-making of humans. Here, we theoretically derive conflict-free joint decision-making that can satisfy the probabilistic preferences of all individual players. More specifically, we mathematically prove the conditions wherein the deviation of the resultant chance of obtaining each choice from the individual preference profile, which we call the loss, becomes zero, meaning that all players’ satisfaction is perfectly appreciated while avoiding decision conflicts. Furthermore, even in situations where zero-loss conflict-free joint decision-making is unachievable, we show how to derive joint decision-making that accomplishes the theoretical minimum loss while ensuring conflict-free choices. Numerical demonstrations are also shown with several benchmarks.
Keyword (in Japanese) (See Japanese page) 
(in English) joint decision-making / resource allocation / preference satisfaction / multi-armed bandit / optimization / game theory / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 66, CCS2022-20, pp. 100-105, June 2022.
Paper # CCS2022-20 
Date of Issue 2022-06-02 (NLP, CCS) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2022-20 CCS2022-20

Conference Information
Committee CCS NLP  
Conference Date 2022-06-09 - 2022-06-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CCS 
Conference Code 2022-06-CCS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimal preference satisfaction for conflict-free joint decisions 
Sub Title (in English)  
Keyword(1) joint decision-making  
Keyword(2) resource allocation  
Keyword(3) preference satisfaction  
Keyword(4) multi-armed bandit  
Keyword(5) optimization  
Keyword(6) game theory  
1st Author's Name Hiroaki Shinkawa  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Nicolas Chauvet  
2nd Author's Affiliation The University of Tokyo (Univ. Tokyo)
3rd Author's Name Guillaume Bachelier  
3rd Author's Affiliation Universite Grenoble Alpes (Univ. Grenoble Alpes)
4th Author's Name Andre Roehm  
4th Author's Affiliation The University of Tokyo (Univ. Tokyo)
5th Author's Name Ryoichi Horisaki  
5th Author's Affiliation The University of Tokyo (Univ. Tokyo)
6th Author's Name Makoto Naruse  
6th Author's Affiliation The University of Tokyo (Univ. Tokyo)
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Speaker Author-1 
Date Time 2022-06-10 14:50:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # NLP2022-20, CCS2022-20 
Volume (vol) vol.122 
Number (no) no.65(NLP), no.66(CCS) 
Page pp.100-105 
Date of Issue 2022-06-02 (NLP, CCS) 

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