Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security

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Éditeur :

Springer


Collection :

Springer Series in Operations Research and Financial Engineering

Paru le : 2019-03-30

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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.
Pages
196 pages
Collection
Springer Series in Operations Research and Financial Engineering
Parution
2019-03-30
Marque
Springer
EAN papier
9783030123703
EAN PDF
9783030123710

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
2662 Ko
Prix
68,56 €
EAN EPUB
9783030123710

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
12513 Ko
Prix
68,56 €