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Paper Abstract and Keywords
Presentation 2023-03-03 14:10
Data Trading Model based on Coalitional Game and its Numerical Analysis Towards Co-Creation Digital Twins
Hidetoshi Hotoyama, Jin Watanabe, Sumiko Miyata (SIT), Kenji Kanai (Waseda Univ), Taku Yamazaki (SIT) IN2022-116
Abstract (in Japanese) (See Japanese page) 
(in English) Digital Twins is a key enabling technology for the next generation of smart cities. The realization of Digital Twins is expected to enable the collection, distribution, and utilization of every up-to-date urban city-data.To make Digital Twins self-growing in a sustainable manner, a co-created digital twin ecosystem is proposed. In the digital twin ecosystem, people become data providers and get involved in the digital twin business.
One of the functional requirements of co-creating Digital Twins is to optimize the distribution of compensation between data providers and consumers. In order to optimize the distribution of compensation, we model data transactions by considering the co-creating Digital Twins as a cooperative game. In this paper, as a preliminary study, we model a co-creative data transaction game focusing on the data consumer side, using a coalitional game in cooperative game theory. In this modeling, we introduce the airport game, which is known as a prior example of a coalitional game, and derive the amount paid by each data consumer from the game's solution, Sharpeley value and nucleolus.
Keyword (in Japanese) (See Japanese page) 
(in English) Digital Twins / cost sharing / coalitional game / Core / Shapley value / nucleolus / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-116, pp. 299-304, March 2023.
Paper # IN2022-116 
Date of Issue 2023-02-23 (IN) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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 IN2022-116

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Data Trading Model based on Coalitional Game and its Numerical Analysis Towards Co-Creation Digital Twins 
Sub Title (in English)  
Keyword(1) Digital Twins  
Keyword(2) cost sharing  
Keyword(3) coalitional game  
Keyword(4) Core  
Keyword(5) Shapley value  
Keyword(6) nucleolus  
Keyword(7)  
Keyword(8)  
1st Author's Name Hidetoshi Hotoyama  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Jin Watanabe  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Sumiko Miyata  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
4th Author's Name Kenji Kanai  
4th Author's Affiliation Waseda University (Waseda Univ)
5th Author's Name Taku Yamazaki  
5th Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2023-03-03 14:10:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-116 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.299-304 
#Pages 6 
Date of Issue 2023-02-23 (IN) 

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