Mathematical modeling of collective behavior in socio-economic and life sciences [Documento eletrónico] / edited by Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani
Language: eng.Country: US - United States of America.Publication: Boston : Birkhäuser , 2010Description: X, 438 p. : il.ISBN: 978-0-8176-4946-3.Series: Modeling and Simulation in Science Engineering and TechnologySubject - Topical Name: 22137 | 22138Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
E-Books | Biblioteca NOVA FCT Online | Não Ficção | HB615.SPR FCT 81018 (Browse shelf(Opens below)) | 1 | Available |
Browsing Biblioteca NOVA FCT shelves, Shelving location: Online, Collection: Não Ficção Close shelf browser (Hides shelf browser)
HB144.SPR FCT 98140 Handbook of dynamic game theory | HB171.5.SPR FCT 95765 Country risk evaluation | HB172.ATL FCT 96441 Principles of mathematical economics II, solutions manual, supplementary materials and supplementary exercises | HB615.SPR FCT 81018 Mathematical modeling of collective behavior in socio-economic and life sciences | HB849.SPR FCT 94196 Applied mathematical demography | HB849.41.SPR FCT 81078 A short history of mathematical population dynamics | HB849.49.SPR FCT 81608 Modelling population dynamics, model formulation, fitting and assessment using state-space methods |
Colocação: Online
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. Specific topics covered include: * analysis of wealth distributions * dynamics of price formation * spreading of opinions * models of social behavior * population dynamics * aggregation and swarming The topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for applied mathematicians, physicists, biologists, and economists involved in the modeling of socio-economic systems.
There are no comments on this title.