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Issue title: Proceedings from the 17th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2015)
Guest editors: Fumio Kojima, Futoshi Kobayashi and Hiroyuki Nakamoto
Article type: Research Article
Authors: Inukai, Haruhiro | Minami, Mamoru* | Yanou, Akira
Affiliations: Graduate school of natural science and technology, Okayama University, Okayama-shi, Japan
Correspondence: [*] Corresponding author: Mamoru Minami, Graduate School of Natural Science and Technology, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama-shi 700-8530, Japan. E-mail:minami-m@cc.okayama-u.ac.jp
Abstract: We have been investigating a method to compose some intelligent robots. Continuous catching and releasing experiment for fish induces the fish to find some escaping strategies staying at corners of a pool. To make fish-catching robot more intelligent than fish's adapting and escaping abilities, we have proposed a chaos-generator comprising Neural-Network-Differential-Equation (NNDE) and an evolving mechanism to have the system generate chaotic trajectories as many as possible. We believe that the fish could not be adaptive enough to escape from chasing net with chaos motions since unpredictable chaotic motions of net may go beyond the fish's adapting abilities to the net motions. In this report we confirmed that four type of chaos are generated by NNDE and one of them is valid for decreasing the fish's learning velocities, which we judged that could be thought that the chaos increased the robot's intelligence relatively against fish's escaping intelligence.
Keywords: Chaos, neural network, intelligent robot
DOI: 10.3233/JAE-162206
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 3-4, pp. 883-889, 2016
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