A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure

The principal aim of this paper is to introduce the framework for a cooperative game theoretical approach to risk analysis using network structure. Probabilistic risk analysis (PRA) is a common methodology for evaluating risks associated with real-world network structure. Although there are numerous...

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Main Authors: Jun-ichi Takeshita, Hiroaki Mohri
Format: Article
Language:English
Published: Society for Risk Analysis - China 2013-11-01
Series:Journal of Risk Analysis and Crisis Response (JRACR)
Subjects:
Online Access:https://www.atlantis-press.com/article/11717.pdf
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author Jun-ichi Takeshita
Hiroaki Mohri
author_facet Jun-ichi Takeshita
Hiroaki Mohri
author_sort Jun-ichi Takeshita
collection DOAJ
description The principal aim of this paper is to introduce the framework for a cooperative game theoretical approach to risk analysis using network structure. Probabilistic risk analysis (PRA) is a common methodology for evaluating risks associated with real-world network structure. Although there are numerous studies on PRA from a physical engineering perspective, Hausken (2002) noted that human behavior is a significant factor in estimating risk using PRA, and he integrated PRA and game theory. While his and related works focused on non-cooperative game theory, in some situations, such as chemical plants, cooperative structures are the norm. Therefore, we here provide a risk analysis method based on cooperative game theory, and especially so-called Shapley values.
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spelling doaj.art-dd4789eaa75c4262b3843f3602a008d22022-12-22T02:30:07ZengSociety for Risk Analysis - ChinaJournal of Risk Analysis and Crisis Response (JRACR)2210-85052013-11-014110.2991/jrarc.2014.4.1.5A Cooperative Game Theoretical Approach to Risk Analysis, Using Network StructureJun-ichi TakeshitaHiroaki MohriThe principal aim of this paper is to introduce the framework for a cooperative game theoretical approach to risk analysis using network structure. Probabilistic risk analysis (PRA) is a common methodology for evaluating risks associated with real-world network structure. Although there are numerous studies on PRA from a physical engineering perspective, Hausken (2002) noted that human behavior is a significant factor in estimating risk using PRA, and he integrated PRA and game theory. While his and related works focused on non-cooperative game theory, in some situations, such as chemical plants, cooperative structures are the norm. Therefore, we here provide a risk analysis method based on cooperative game theory, and especially so-called Shapley values.https://www.atlantis-press.com/article/11717.pdfgame theorycooperative gameShapley valuerisk managementnetwork structure
spellingShingle Jun-ichi Takeshita
Hiroaki Mohri
A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
Journal of Risk Analysis and Crisis Response (JRACR)
game theory
cooperative game
Shapley value
risk management
network structure
title A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
title_full A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
title_fullStr A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
title_full_unstemmed A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
title_short A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
title_sort cooperative game theoretical approach to risk analysis using network structure
topic game theory
cooperative game
Shapley value
risk management
network structure
url https://www.atlantis-press.com/article/11717.pdf
work_keys_str_mv AT junichitakeshita acooperativegametheoreticalapproachtoriskanalysisusingnetworkstructure
AT hiroakimohri acooperativegametheoreticalapproachtoriskanalysisusingnetworkstructure
AT junichitakeshita cooperativegametheoreticalapproachtoriskanalysisusingnetworkstructure
AT hiroakimohri cooperativegametheoreticalapproachtoriskanalysisusingnetworkstructure