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04305nam a22005775i 4500 |
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978-3-319-13009-5 |
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141231s2015 gw | s |||| 0|eng d |
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|a 9783319130095
|9 978-3-319-13009-5
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|a 10.1007/978-3-319-13009-5
|2 doi
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|a 658.56
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|a Game Theoretic Analysis of Congestion, Safety and Security
|h [electronic resource] :
|b Networks, Air Traffic and Emergency Departments /
|c edited by Kjell Hausken, Jun Zhuang.
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250 |
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XIV, 310 p. 84 illus., 28 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a Springer Series in Reliability Engineering,
|x 1614-7839
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|a Maximizing reader insights into the roles of intelligent agents in networks, air traffic and emergency departments, this volume focuses on congestion in systems where safety and security are at stake, devoting special attention to applying game theoretic analysis of congestion to: protocols in wired and wireless networks; power generation, air transportation and emergency department overcrowding. Reviewing exhaustively the key recent research into the interactions between game theory, excessive crowding, and safety and security elements, this book establishes a new research angle by illustrating linkages between the different research approaches and serves to lay the foundations for subsequent analysis. Congestion (excessive crowding) is defined in this work as all kinds of flows; e.g., road/sea/air traffic, people, data, information, water, electricity, and organisms. Analyzing systems where congestion occurs – which may be in parallel, series, interlinked, or interdependent, with flows one way or both ways – this book puts forward new congestion models, breaking new ground by introducing game theory and safety/security. Addressing the multiple actors who may hold different concerns regarding system reliability; e.g. one or several terrorists, a government, various local or regional government agencies, or others with stakes for or against system reliability, this book describes how governments and others may have the tools to handle congestion, but that these tools need to be improved whilst additionally ensuring safety and security against various threats. This game-theoretic analysis sets this two volume book apart from the current congestion literature and ensures that the work will be of use to postgraduates, researchers, 3rd/4th-year undergraduates, policy makers, and practitioners.
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|a Quality control.
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|a Reliability.
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|a Industrial safety.
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|a Computer security.
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|a Game theory.
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|a Computational complexity.
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|a Quality Control, Reliability, Safety and Risk.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T22032
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|a Systems and Data Security.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I28060
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|a Game Theory, Economics, Social and Behav. Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13011
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|a Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11022
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700 |
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|a Hausken, Kjell.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Zhuang, Jun.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319130101
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|i Printed edition:
|z 9783319130088
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|i Printed edition:
|z 9783319366326
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|a Springer Series in Reliability Engineering,
|x 1614-7839
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856 |
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|u https://doi.org/10.1007/978-3-319-13009-5
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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