A Game theoretic Evolutionary Network Traffic Simulator Agents is a tool for simulating dynamics of selfish users in traffic networks like the Internet. Classical Game Theory has been extensively used to analyse the Internet. However, this analysis
Preface Chapter 1—Introduction 1.1 Neuroinformatics 1.1.1 Neural Memory: Neural Information Storage 1.1.2 Information-Traffic in the Neurocybernetic System 1.2 Information-Theoretic Framework of Neurocybernetics 1.3 Entropy, Thermodynamics and Infor
(Princeton Series in Applied Mathematics) Mehran Mesbahi, Magnus Egerstedt-Graph Theoretic Methods in Multiagent Networks (Princeton Series in Applied Mathematics)-Princeton University Press (2010)
Decision-theoretic rough set model can derive several probabilistic rough set models by providing proper cost functions. Learning cost functions from data automatically is the key to improving the applicability of decision-theoretic rough set model.
