Titlebook: Intelligent Random Walk: An Approach Based on Learning Automata; Ali Mohammad Saghiri,M. Daliri Khomami,Mohammad Re Book 2019 The Author(s

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Intelligent Random Walk: An Approach Based on Learning Automata978-3-030-10883-0Series ISSN 2191-530X Series E-ISSN 2191-5318

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Random Walk Algorithms: Definitions, Weaknesses, and Learning Automata-Based Approach,e theory of learning automata is used to design intelligent models of random walk. In this chapter, we discuss about the weaknesses of non-intelligent models of random walk as a problem-solving method in real-world applications. We also give the required information about random walk algorithms and the theory of learning automata.

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2191-530X odeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications..978-3-030-10882-3978-3-030-10883-0Series ISSN 2191-530X Series E-ISSN 2191-5318

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Applications, mechanism for finding a set of nodes called PIDS which leads to solve influence maximization problem. In the rest of this section, we give the required information about the selected problems, and then several solutions based on intelligent models of random walk are studied.

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Book 2019red information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book open

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