Book DescriptionNetworks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning automata models with emphasis on multiautomata systems It considers synthesis of complex learning structures from simple building blocks and uses stochastic algorithms for refining probabilities of selecting озцйж actions Mathematical analysis of the behavior of games and feedforward networks is provided Algorithms considered here can be used for online optimization of systems based on noisy measurements of performance index Also, algorithms that assure convergence to the global optimum are presented Parallel operation of automata systems for improving speed of convergence is described The authors also include extensive discussion of how learning automata solutions can be constructed in a variety of applications.  Эта книга2003 г 284 стр ISBN 1402076916.