Standard

Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, 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

Harvard

Kolokoltsov, VN & Malafeyev, OA 2019, Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, Coalition Building, Network Growth, Security. Springer Series in Operations Research and Financial Engineering , Springer Nature.

APA

Kolokoltsov, V. N., & Malafeyev, O. A. (2019). Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, Coalition Building, Network Growth, Security. (Springer Series in Operations Research and Financial Engineering ). Springer Nature.

Vancouver

Kolokoltsov VN, Malafeyev OA. Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, 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: Corruptiom, Inapectiom, Coalition Building, Network Growth, Security. Springer Nature, 2019. 196 стр. (Springer Series in Operations Research and Financial Engineering ).

BibTeX

@book{7290b0877db64144aa2e1289767f9de6,
title = "Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, 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, economics, and finance.",
keywords = "Dynamic law of large numbers, Mean-field games, corruption, Inspection, curity",
author = "Kolokoltsov, {Vassili N.} and Malafeyev, {Oleg A.}",
note = "библиография 194 наименований",
year = "2019",
language = "English",
isbn = "978-3-030-12370-3",
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: Corruptiom, Inapectiom, Coalition Building, Network Growth, Security

AU - Kolokoltsov, Vassili N.

AU - Malafeyev, Oleg A.

N1 - библиография 194 наименований

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, economics, and finance.

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, economics, and finance.

KW - Dynamic law of large numbers

KW - Mean-field games

KW - corruption

KW - Inspection

KW - curity

UR - https://link.springer.com/book/10.1007/978-3-030-12371-0#authorsandaffiliationsbook

M3 - Book

SN - 978-3-030-12370-3

T3 - Springer Series in Operations Research and Financial Engineering

BT - Many Agent Games in Socio-economic Systems: Corruptiom, Inapectiom, Coalition Building, Network Growth, Security

PB - Springer Nature

ER -

ID: 51532043