Many Agent Games in Socio economic Systems Corruption Inspection Coalition Building Network Growth Security is popular PDF and ePub book, written by Vassili N. Kolokoltsov in 2019-03-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Many Agent Games in Socio economic Systems Corruption Inspection Coalition Building Network Growth Security can be Read Online from any device for your convenience.
Many Agent Games in Socio economic Systems Corruption Inspection Coalition Building Network Growth Security Book PDF Summary
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.
Detail Book of Many Agent Games in Socio economic Systems Corruption Inspection Coalition Building Network Growth Security PDF
- Author : Vassili N. Kolokoltsov
- Release : 30 March 2019
- Publisher : Springer
- ISBN : 9783030123710
- Genre : Mathematics
- Total Page : 196 pages
- Language : English
- PDF File Size : 12,7 Mb
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