咒语 发表于 2025-3-23 12:58:28
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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现任者 发表于 2025-3-23 22:00:23
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. Iflaunt 发表于 2025-3-24 01:40:08
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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. Tsenile-dementia 发表于 2025-3-24 06:56:57
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迅速成长 发表于 2025-3-24 14:42:57
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不规则的跳动 发表于 2025-3-24 15:55:15
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