Logistic Chaos Protects Evolution against Environment Noise | Zendy

Masao Kubo | Zendy; Akihiro Yamaguchi | Zendy; Sadayoshi Mikami | Zendy; Mitsuo Wada | Zendy

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Logistic Chaos Protects Evolution against Environment Noise

Author(s) -

Masao Kubo,

Akihiro Yamaguchi,

Sadayoshi Mikami,

Mitsuo Wada

Publication year - 1998

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.1998.p0350

Subject(s) - noise (video) , computer science , artificial neural network , artificial intelligence , generator (circuit theory) , chaos (operating system) , controller (irrigation) , robotics , evolutionary robotics , genetic algorithm , robot , machine learning , power (physics) , biology , physics , computer security , quantum mechanics , agronomy , image (mathematics)

We propose a neuron with noise generator specially for the evolutionary robotics approach to incremental knowledge acquisition. Genetically evolving neural networks are modified continuously by genetic operations. Difficulty in incrementing knowledge when a neural network acts as a robotic controller arises when network operates unlike in the past due to disturbance by neurons added by genetic operators. To evolve a network robust against such internal noise, we propose adding noise generators to neurons. We show the effectiveness of the application of a logistic chaos noise generator to neurons by comparing several noise generators.

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