Titlebook: Recent Advances in Learning Automata; Alireza Rezvanian,Ali Mohammad Saghiri,Mohammad Re Book 2018 Springer International Publishing AG 20

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Learning Automata Theory. LA has been found to be a useful tool for solving many complex and real world problems where a large amount of uncertainty exists or there is no access to the whole information regarding the environment. In this chapter, learning automaton and its variant models will be introduced. Also, recent mo

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Cellular Learning Automatathe computational power of cellular automata (CAs), and the learning capability of learning automata (LAs). From the viewpoint of the structure regularity, CLAs can be classified into two classes: irregular CLAs and regular CLAs. In an irregular CLA, the structure regularity assumption is relaxed. I

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Learning Automata for Cognitive Peer-to-Peer Networks on the DCLAs are presented for solving topology mismatch, and super-peer selection problems in peer-to-peer networks. In order to design the structure updating rule of the DCLAs, the restructuring rules of Schelling segregation model, fungal growth model, and Voronoi diagrams model were borrowed. T

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Learning Automata for Complex Social Networksnts, in this chapter, we present a brief description of some learning automata based algorithms for applications of social network analysis. In this regards, first we introduce complex social networks and stochastic graphs as a graph model of social networks for analysis objectives. Then, several al

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Adaptive Petri Net Based on Learning Automataearning automata as learning agents and propose a number of hybrid machines, which are constructed by the fusion of Petri nets and learning automata. To justify the suitability of the proposed hybrid machines, we use them for modeling, simulating, analyzing, and problem solving in a variety of appli

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