Mathematical modeling of collective behavior in socio-economic and life sciences / Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani, editors

Auteur secondaire : Naldi, Giovanni - Editeur scientifique ; Toscani, Giuseppe (1949-) - Editeur scientifique ; Pareschi, Lorenzo (1966-) - Editeur scientifiqueType de document: Monographie Collection: Modeling and simulation in science, engineering and technology Langue: anglaisPays: Etats UnisÉditeur: Boston : Birkhäuser, cop. 2010Description: 1 vol. (X-435 p.) : fig. ; 24 cm ISBN: 9780817649456 ; rel. Résumé: Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related models. Systems made out of a large enough number of individual members can be said to exhibit a collective behavior, from which insight can be gathered in a way that real-life experiments cannot. Using examples from financial markets and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. (Source : Springer).Bibliographie: Bibliogr. en fin de contributions. Index. Sujets MSC: 91-06 Game theory, economics, social and behavioral sciences -- Proceedings, conferences, collections, etc
91B80 Game theory, economics, social and behavioral sciences -- Mathematical economics -- Applications of statistical and quantum mechanics to economics (econophysics)
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Bibliogr. en fin de contributions. Index

Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related models. Systems made out of a large enough number of individual members can be said to exhibit a collective behavior, from which insight can be gathered in a way that real-life experiments cannot. Using examples from financial markets and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. (Source : Springer)

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