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Learning automata : ウィキペディア英語版 | Learning automata A branch of the theory of adaptive control is devoted to learning automata surveyed by Narendra and Thathachar (1974) which were originally described explicitly as finite state automata. Learning automata select their current action based on past experiences from the environment. == History == Research in learning automata can be traced back to the work of Tsetlin in the early 1960s in the Soviet Union. Together with some colleagues, he published a collection of papers on how to use matrices to describe automata functions. Additionally, Tsetlin worked on ''reasonable'' and ''collective automata behaviour'', and on ''automata games''. Learning automata were also investigated by researches in the United States in the 1960s. However, the term ''learning automaton'' was not used until Narendra and Thathachar introduced it in a survey paper in 1974.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Learning automata」の詳細全文を読む
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