Authors: Harris V. Georgiou
Game Theory is one of the most challenging and controversial fields of applied Mathematics. Based on a robust theoretical framework, its applications range from analyzing simple board games and conflict situations to modeling complex systems and evolutionary dynamics. This book is a short collection of introductory papers in the field, aimed primarily as reading material for graduate- and postgraduate-level lectures in Game Theory and/or Machine Learning. The four papers included here are all original works already published as open-access or conference publications, spanning a timeframe of several years apart and a wide range of topics. Hence, each paper is self-contained and can be studied on its own, without any prerequisite knowledge from the previous ones. However, their presentation order is consistent with going from the most elementary issues to the more advanced and experiment-rigorous topics.
Comments: 106 Pages. game theory; pattern recognition; classifier combination
[v1] 2015-06-23 04:11:28
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