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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, сборникикнига, в т.ч. монография, учебникнаучнаяРецензирование

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Vancouver

Kolokoltsov VN, Malafeyev OA. Many agent games in socio-economic systems: Corruption, inspection, coalition building, network growth, security. Springer Nature, 2019. 196 стр. (Springer Series in Operations Research and Financial Engineering).

Author

Kolokoltsov, Vassili N. ; Malafeyev, Oleg A. / Many agent games in socio-economic systems : Corruption, inspection, coalition building, network growth, security. Springer Nature, 2019. 196 стр. (Springer Series in Operations Research and Financial Engineering).

BibTeX

@book{d9b8dd9759be4a82a1ca4d0727492568,
title = "Many agent games in socio-economic systems: Corruption, inspection, coalition building, network growth, security",
abstract = "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,",
author = "Kolokoltsov, {Vassili N.} and Malafeyev, {Oleg A.}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2019",
language = "English",
series = "Springer Series in Operations Research and Financial Engineering",
publisher = "Springer Nature",
address = "Germany",

}

RIS

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