Two-person cooperative uncertain differential game with transferable payoffs
Uncertain differential game models conflicts and interests among players in the context of an uncertain dynamic system. However, cooperative behavior in uncertain differential game is an unexplored terrain. This paper proposes a spectrum of a cooperative uncertain differential game with transferrabl...
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Veröffentlicht in: | Fuzzy optimization and decision making 2021-12, Vol.20 (4), p.567-594 |
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description | Uncertain differential game models conflicts and interests among players in the context of an uncertain dynamic system. However, cooperative behavior in uncertain differential game is an unexplored terrain. This paper proposes a spectrum of a cooperative uncertain differential game with transferrable payoffs. First, group rationality is achieved by maximizing the coalitional payoff through an uncertain optimal control method. Second, the concept of imputation is introduced as a solution, and a stability condition called subgame consistency condition for an imputation is proposed as well. Furthermore, the derivation of payoff distribution procedure for subgame consistent imputation is discussed. In addition, two optimal principles, i.e., Nash bargaining solution and Shapley value, are extended to this kind of model and are proved to be subgame consistent imputations, and their payoff distribution procedures are derived analytically. Finally, a two-person resource extraction game is studied for illustrating purpose. |
doi_str_mv | 10.1007/s10700-021-09355-y |
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However, cooperative behavior in uncertain differential game is an unexplored terrain. This paper proposes a spectrum of a cooperative uncertain differential game with transferrable payoffs. First, group rationality is achieved by maximizing the coalitional payoff through an uncertain optimal control method. Second, the concept of imputation is introduced as a solution, and a stability condition called subgame consistency condition for an imputation is proposed as well. Furthermore, the derivation of payoff distribution procedure for subgame consistent imputation is discussed. In addition, two optimal principles, i.e., Nash bargaining solution and Shapley value, are extended to this kind of model and are proved to be subgame consistent imputations, and their payoff distribution procedures are derived analytically. Finally, a two-person resource extraction game is studied for illustrating purpose.</description><identifier>ISSN: 1568-4539</identifier><identifier>EISSN: 1573-2908</identifier><identifier>DOI: 10.1007/s10700-021-09355-y</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial Intelligence ; Bargaining ; Calculus of Variations and Optimal Control; Optimization ; Control methods ; Cooperation ; Differential games ; Equilibrium ; Fuzzy sets ; Game theory ; Games ; Mathematical Logic and Foundations ; Mathematics ; Mathematics and Statistics ; Operations Research/Decision Theory ; Optimal control ; Optimization ; Probability Theory and Stochastic Processes ; Rationality</subject><ispartof>Fuzzy optimization and decision making, 2021-12, Vol.20 (4), p.567-594</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-a91bf6fd5ef9c48952f9e0511d1a4af896718a41015b665d9b4fbbd3501f8b6d3</citedby><cites>FETCH-LOGICAL-c376t-a91bf6fd5ef9c48952f9e0511d1a4af896718a41015b665d9b4fbbd3501f8b6d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10700-021-09355-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10700-021-09355-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Gao, Jinwu</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Yang, Xiangfeng</creatorcontrib><title>Two-person cooperative uncertain differential game with transferable payoffs</title><title>Fuzzy optimization and decision making</title><addtitle>Fuzzy Optim Decis Making</addtitle><description>Uncertain differential game models conflicts and interests among players in the context of an uncertain dynamic system. However, cooperative behavior in uncertain differential game is an unexplored terrain. This paper proposes a spectrum of a cooperative uncertain differential game with transferrable payoffs. First, group rationality is achieved by maximizing the coalitional payoff through an uncertain optimal control method. Second, the concept of imputation is introduced as a solution, and a stability condition called subgame consistency condition for an imputation is proposed as well. Furthermore, the derivation of payoff distribution procedure for subgame consistent imputation is discussed. In addition, two optimal principles, i.e., Nash bargaining solution and Shapley value, are extended to this kind of model and are proved to be subgame consistent imputations, and their payoff distribution procedures are derived analytically. Finally, a two-person resource extraction game is studied for illustrating purpose.</description><subject>Artificial Intelligence</subject><subject>Bargaining</subject><subject>Calculus of Variations and Optimal Control; Optimization</subject><subject>Control methods</subject><subject>Cooperation</subject><subject>Differential games</subject><subject>Equilibrium</subject><subject>Fuzzy sets</subject><subject>Game theory</subject><subject>Games</subject><subject>Mathematical Logic and Foundations</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Operations Research/Decision Theory</subject><subject>Optimal control</subject><subject>Optimization</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Rationality</subject><issn>1568-4539</issn><issn>1573-2908</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UE1LwzAYDqLgnP4BTwHP0bxNkzRHGX7BwMs8h7RNZseW1KRz9N-bWWE3T-8Dzxfvg9At0HugVD4koJJSQgsgVDHOyXiGZsAlI4Wi1fkRi4qUnKlLdJXShlIQBa9maLk6BNLbmILHTQgZmaH7tnjvGxsH03ncds7ZaP3QmS1em53Fh274xEM0PmXC1FuLezMG59I1unBmm-zN352jj-en1eKVLN9f3haPS9IwKQZiFNROuJZbp5qyUrxwylIO0IIpjauUkFCZEijwWgjeqrp0dd0yTsFVtWjZHN1NuX0MX3ubBr0J--hzpc5PlcA4A8iqYlI1MaQUrdN97HYmjhqoPq6mp9V0Xk3_rqbHbMKTyTbBd-lkkZJLIUuosoRNkpRJv7bx1P5P8A_oIHux</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Zhang, Yi</creator><creator>Gao, Jinwu</creator><creator>Li, Xiang</creator><creator>Yang, Xiangfeng</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20211201</creationdate><title>Two-person cooperative uncertain differential game with transferable payoffs</title><author>Zhang, Yi ; Gao, Jinwu ; Li, Xiang ; Yang, Xiangfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-a91bf6fd5ef9c48952f9e0511d1a4af896718a41015b665d9b4fbbd3501f8b6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial Intelligence</topic><topic>Bargaining</topic><topic>Calculus of Variations and Optimal Control; Optimization</topic><topic>Control methods</topic><topic>Cooperation</topic><topic>Differential games</topic><topic>Equilibrium</topic><topic>Fuzzy sets</topic><topic>Game theory</topic><topic>Games</topic><topic>Mathematical Logic and Foundations</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Operations Research/Decision Theory</topic><topic>Optimal control</topic><topic>Optimization</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Rationality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Gao, Jinwu</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Yang, Xiangfeng</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Fuzzy optimization and decision making</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yi</au><au>Gao, Jinwu</au><au>Li, Xiang</au><au>Yang, Xiangfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two-person cooperative uncertain differential game with transferable payoffs</atitle><jtitle>Fuzzy optimization and decision making</jtitle><stitle>Fuzzy Optim Decis Making</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>20</volume><issue>4</issue><spage>567</spage><epage>594</epage><pages>567-594</pages><issn>1568-4539</issn><eissn>1573-2908</eissn><abstract>Uncertain differential game models conflicts and interests among players in the context of an uncertain dynamic system. However, cooperative behavior in uncertain differential game is an unexplored terrain. This paper proposes a spectrum of a cooperative uncertain differential game with transferrable payoffs. First, group rationality is achieved by maximizing the coalitional payoff through an uncertain optimal control method. Second, the concept of imputation is introduced as a solution, and a stability condition called subgame consistency condition for an imputation is proposed as well. Furthermore, the derivation of payoff distribution procedure for subgame consistent imputation is discussed. In addition, two optimal principles, i.e., Nash bargaining solution and Shapley value, are extended to this kind of model and are proved to be subgame consistent imputations, and their payoff distribution procedures are derived analytically. Finally, a two-person resource extraction game is studied for illustrating purpose.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10700-021-09355-y</doi><tpages>28</tpages></addata></record> |
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subjects | Artificial Intelligence Bargaining Calculus of Variations and Optimal Control Optimization Control methods Cooperation Differential games Equilibrium Fuzzy sets Game theory Games Mathematical Logic and Foundations Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimal control Optimization Probability Theory and Stochastic Processes Rationality |
title | Two-person cooperative uncertain differential game with transferable payoffs |
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