Many agent games in socio-economic systems : corruption, inspection, coalition building, network growth, security
Author(s)
Bibliographic Information
Many agent games in socio-economic systems : corruption, inspection, coalition building, network growth, security
(Springer series in operations research and financial engineering)
Springer, c2019
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. 185-194) and index
Description and Table of Contents
Description
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.
Table of Contents
1. Introduction: Main Models and LLN Methology.- Part I: Multi-agent Interaction and Nonlinear Markov Games.- 2. Best Response Principals.- 3. Dynamic Control of Major Players.- 4. Models of Growth Under Pressure.- Par II: Pools of Rational Optimizers.- 5. MFGs for Finite-state Models.- 6. Three State Model of Corruption and Inspection.- 7. Four State Model of Cyber-security.- 8. Turnpick Theory for MFGs on Two-dimensional Networks.
by "Nielsen BookData"