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Learning Automata Theory

2018
Learning automaton (LA) as one of computational intelligence techniques is a stochastic model operating in the framework of the reinforcement learning. 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.
Mehdi Esnaashari   +4 more
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Theory of Automata: Discussion

1977
The interest of social scientists in the recent rapid development of automata has two bases: they are interested in powerful computing devices that would enable them to handle complex systems of equations; and they are interested in the suggestive analogies between automata, on the one hand, and organisms and social systems on the other.
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On sentient automata theory

1983
A unifying metaphysical theme underlying various forms of cognitive theorising is the conception of human agents as sentient automata. Persons are conceived of as complex mechanisms (or sets of inter-related mechanisms) each of which has some deterministic function pertaining to any form of human conduct. Neurophysiological events and processes (albeit
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Automata theory

Communications of the ACM, 1961
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Theories of Abstract Automata

Mathematics of Computation, 1970
Ira Pohl, Michael A. Arbib
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