Результаты исследований: Книги, отчёты, сборники › книга, в т.ч. монография, учебник › научная › Рецензирование
Many agent games in socio-economic systems : Corruption, inspection, coalition building, network growth, security. / Kolokoltsov, Vassili N.; Malafeyev, Oleg A.
Springer Nature, 2019. 196 стр. (Springer Series in Operations Research and Financial Engineering).Результаты исследований: Книги, отчёты, сборники › книга, в т.ч. монография, учебник › научная › Рецензирование
}
TY - BOOK
T1 - Many agent games in socio-economic systems
T2 - Corruption, inspection, coalition building, network growth, security
AU - Kolokoltsov, Vassili N.
AU - Malafeyev, Oleg A.
N1 - Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - There has been an increase in attention toward systems involving large numbers of small players, giving rise to the theory of mean field games, mean field type control and nonlinear Markov games. Exhibiting various real world problems involving major and minor agents, this book presents a systematic continuous-space approximation approach for mean-field interacting agents models and mean-field games models. After describing Markov-chain methodology and a modeling of mean-field interacting systems, the text presents various structural conditions on the chain to yield respective socio-economic models, focusing on migration models via binary interactions. The specific applications are wide-ranging – including inspection and corruption, cyber-security, counterterrorism, coalition building and network growth, minority games, and investment policies and optimal allocation – making this book relevant to a wide audience of applied mathematicians interested in operations research, computer science, national security,
AB - There has been an increase in attention toward systems involving large numbers of small players, giving rise to the theory of mean field games, mean field type control and nonlinear Markov games. Exhibiting various real world problems involving major and minor agents, this book presents a systematic continuous-space approximation approach for mean-field interacting agents models and mean-field games models. After describing Markov-chain methodology and a modeling of mean-field interacting systems, the text presents various structural conditions on the chain to yield respective socio-economic models, focusing on migration models via binary interactions. The specific applications are wide-ranging – including inspection and corruption, cyber-security, counterterrorism, coalition building and network growth, minority games, and investment policies and optimal allocation – making this book relevant to a wide audience of applied mathematicians interested in operations research, computer science, national security,
UR - http://www.scopus.com/inward/record.url?scp=85098089899&partnerID=8YFLogxK
M3 - Book
AN - SCOPUS:85098089899
T3 - Springer Series in Operations Research and Financial Engineering
BT - Many agent games in socio-economic systems
PB - Springer Nature
ER -
ID: 78831179