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Graph searching games and probabilistic methods

By: Bonato, AnthonyContributor(s): Prałat, PawełMaterial type: TextTextSeries: Discrete mathematics and its applicationsPublication details: Boca Raton : CRC Press, Taylor & Francis Group, 2022. Description: xxi, 379 pages : illustrations ; 24 cmISBN: 9781032476414Subject(s): Game theory | Games of strategy (Mathematics) | ProbabilitiesDDC classification: 519.83 Online resources: Table of content | Reviews Summary: Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes such as Cops and Robbers, Zombie and Survivors, and Firefighting. Written in an engaging style, the book is accessible to a wide audience including mathematicians and computer scientists. Readers will find that the book provides state-of-the-art results, techniques, and directions in graph searching games, especially from the point of view of probabilistic methods. The authors describe three directions while providing numerous examples, which include: Playing a deterministic game on a random board. Players making random moves. Probabilistic methods used to analyze a deterministic game.
List(s) this item appears in: Mathematics
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Book Book NISER LIBRARY
519.83 BON-G (Browse shelf(Opens below)) Available 25952

Includes bibliographical references and index.

Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes such as Cops and Robbers, Zombie and Survivors, and Firefighting. Written in an engaging style, the book is accessible to a wide audience including mathematicians and computer scientists. Readers will find that the book provides state-of-the-art results, techniques, and directions in graph searching games, especially from the point of view of probabilistic methods. The authors describe three directions while providing numerous examples, which include: Playing a deterministic game on a random board. Players making random moves. Probabilistic methods used to analyze a deterministic game.

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