Diversive and Specific Curiosities for Effective Learning

Keiichi Horio; Naoki Shimo; Hakaru Tamukoh; Takanori Koga; Satoshi Sonoh; Takeshi Yamakawa

doi:10.14864/softscis.2008.0.1912.0

SCIS & ISIS 2008

Session ID : SU-B2-4

DOI https://doi.org/10.14864/softscis.2008.0.1912.0

Conference information

Host: Japan Society for Fuzzy Theory and intelligent informatics

Diversive and Specific Curiosities for Effective Learning

*Keiichi Horio, Naoki Shimo, Hakaru Tamukoh, Takanori Koga, Satoshi Sonoh, Takeshi Yamakawa

Author information

Keywords: diversive curiosity, specific curiosity, effective learning

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Abstract

In this paper, a novel learning strategy based on diversive and specific curiosities are introduced. Two types of curiosities are switched by employing a concept of threshold. The desired threshold for effective learning is decided by genetic algorithm. Advantages of the proposed method are verified by simulations.

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