Efficient organization of network topology based on reinforcement signals

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We developed a learning system for autonomous robots that allows for autonomous exploration of the effective output, and has simple external parameters and a low calculation cost. We propose the concept of self-organizing network elements (SONE) for creating learning systems with these characteristics. We created and evaluated a self-organizing logic circuit by using this concept. Our results indicated this learning system had the characteristics.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Intelligent Robots and Systems
    Pages3154-3159
    Number of pages6
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing
    Duration: 2006 Oct 92006 Oct 15

    Other

    Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
    CityBeijing
    Period06/10/906/10/15

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    ASJC Scopus subject areas

    • Control and Systems Engineering

    Cite this

    Kim, C. H., Sugano, S., & Ogata, T. (2006). Efficient organization of network topology based on reinforcement signals. In IEEE International Conference on Intelligent Robots and Systems (pp. 3154-3159). [4058881] https://doi.org/10.1109/IROS.2006.282338