2021 年 40 巻 1 号 p. 43-49
Streams of operant behaviors emit not in a temporally homogeneous manner, but are arranged in bouts separated by pauses of responses between them. The temporal organization of these patterns, however, had been not successfully described. The present article introduces time-series modeling attempt for bout-pause pattern, which was presented in Matsui, Yamada, Sakagami, & Tanno (2018). Furthermore, the author argued that unsolved problems concerning bout-pause literatures, concerning quantification and modeling of bout-pause patterns. As remedies for these issues, the author discusses the utilities of reinforcement learning model and computational ethology for operant studies.
