Game Theoretic Analysis of Congestion, Safety and Security / Najlacnejšie knihy
Game Theoretic Analysis of Congestion, Safety and Security

Kód: 05328237

Game Theoretic Analysis of Congestion, Safety and Security

Autor Kjell Hausken, Jun Zhuang

Maximizing reader insights into the interactions between game theory, excessive crowding and safety and security elements, this book establishes a new research angle by illustrating linkages between different research approaches a ... celý popis

135.94


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Anotácia knihy

Maximizing reader insights into the interactions between game theory, excessive crowding and safety and security elements, this book establishes a new research angle by illustrating linkages between different research approaches and through laying 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. Analysing 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 into proceedings.§§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 authorities 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 book apart from the current congestion literature and ensures that the book will be of use to postgraduates, researchers, 3rd/4th-year undergraduates, policy makers, and practitioners.§

Parametre knihy

Zaradenie knihy Knihy po anglicky Reference, information & interdisciplinary subjects Research & information: general Information theory

135.94

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