Networks of studying Automata: ideas for on-line Stochastic Optimization is a entire account of studying automata types with emphasis on multiautomata structures. It considers synthesis of complicated studying constructions from basic construction blocks and makes use of stochastic algorithms for refining possibilities of picking activities. Mathematical research of the habit of video games and feedforward networks is supplied. Algorithms thought of right here can be utilized for on-line optimization of platforms in line with noisy measurements of functionality index. additionally, algorithms that guarantee convergence to the worldwide optimal are awarded. Parallel operation of automata structures for making improvements to velocity of convergence is defined. The authors additionally comprise vast dialogue of the way studying automata strategies might be developed in a number of functions.