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Advances in dynamic and mean field games: theory, applications, and numerical methods

By Joseph Apaloo and Bruno Viscolani

Abstract

This contributed volume considers recent advances in dynamic games and their applications, based on presentations given at the 17th Symposium of the International Society of Dynamic Games, held July 12-15, 2016, in Urbino, Italy. Written by experts in their respective disciplines, these papers cover various aspects of dynamic game theory including mean-field games, stochastic and pursuit-evasion games, and computational methods for dynamic games. Topics covered include Pedestrian flow in crowded environments Models for climate change negotiations Nash Equilibria for dynamic games involving Volterra integral equations Differential games in healthcare markets Linear-quadratic Gaussian dynamic games Aircraft control in wind shear conditions Advances in Dynamic and Mean-Field Games presents state-of-the-art research in a wide spectrum of areas. As such, it serves as a testament to the continued vitality and growth of the field of dynamic games and their applications. It will be of interest to an interdisciplinary audience of researchers, practitioners, and graduate students

Topics: Mathematical Physics and Mathematics
Publisher: 'Springer Science and Business Media LLC'
Year: 2017
DOI identifier: 10.1007/978-3-319-70619-1
OAI identifier: oai:cds.cern.ch:2303174
Provided by: CERN Document Server
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