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Table of contents (5 chapters)
Keywords
About this book
Authors and Affiliations
About the author
Marco Alberto Javarone is a researcher in the area of Complex Systems and Statistical Physics, with a keen interest in interdisciplinary applications for Evolutionary Game Theory, Complex Networks, Socio-Economic Systems, and Information Theory. He graduated at Politecnico di Milano (2009), and then received two PhD’s at the University of Cagliari: the former in Computer Engineering (2013), studying Complex Networks and Machine Learning, and the latter in Mathematical Physics (2017), investigating different topics within Statistical Mechanics. He worked as postdoc researcher in Italy, and as an invited researcher in France. Currently, he is a Senior Research Fellow in the School of Computer Science at the University of Hertfordshire.
Bibliographic Information
Book Title: Statistical Physics and Computational Methods for Evolutionary Game Theory
Authors: Marco Alberto Javarone
Series Title: SpringerBriefs in Complexity
DOI: https://doi.org/10.1007/978-3-319-70205-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018
Softcover ISBN: 978-3-319-70204-9Published: 22 January 2018
eBook ISBN: 978-3-319-70205-6Published: 11 January 2018
Series ISSN: 2191-5326
Series E-ISSN: 2191-5334
Edition Number: 1
Number of Pages: IX, 74
Number of Illustrations: 2 b/w illustrations, 25 illustrations in colour
Topics: Statistical Physics and Dynamical Systems, Game Theory, Economics, Social and Behav. Sciences, Computational Social Sciences, Data-driven Science, Modeling and Theory Building, Evolutionary Biology, Python