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Annual Conference of the Japanese Society for Artificial Intelligence

JSAI 2019: Advances in Artificial Intelligence pp 55–65Cite as

Rewards Visualization System Promotes Information Provision

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1128))

Abstract

This is an extension from a selected paper from JSAI2019. If users participated in a Consumer Generated Media (CGM) sites on the web do not provide sufficient information to the site, the site would be insignificant. Despite this point, many users have lower incentives to provide something than those to receive something. This is why such the information-sharing sites face the so-called free-riding issues. Therefore, the information behaviors of CGM are regarded as a kind of a public good game. In this paper, we model such behaviors to a restricted meta-reward game and analyze some effects of their information behaviors on CGM to be activated using agent-based simulations. Our simulation shows that CGM can be activated if at least half agents observe the other agents’ meta-rewards information. Moreover, our results show that agents evolutionarily refer individual meta-reward rates to keep cooperation when they can learn their reference strategies.

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Acknowledgement

This study is supported by Japan Society for the Promotion of Science (Grant nos. 16H03120, 17H02044, 17KK0055, 18H03498, 19K21570).

Author information

Authors and Affiliations

  1. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan

    Fujio Toriumi

  2. Rissho University, 4-2-16 Osaki, Shinagawa-ku, Tokyo, Japan

    Hitoshi Yamamoto

  3. Soka University, 1-236, Tangimachi, Hachioji-shi, Tokyo, Japan

    Isamu Okada

Authors
  1. Fujio Toriumi
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  2. Hitoshi Yamamoto
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  3. Isamu Okada
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Corresponding author

Correspondence to Fujio Toriumi .

Editor information

Editors and Affiliations

  1. Department of Systems Innovation, University of Tokyo, Tokyo, Japan

    Yukio Ohsawa

  2. Faculty of Business and Commerce, Kansai University, Osaka, Japan

    Katsutoshi Yada

  3. Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  4. Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan

    Yasufumi Takama

  5. Department of Information and Communication, Tokyo Metropolitan University, Tokyo, Japan

    Eri Sato-Shimokawara

  6. Faculty of Letters, Chiba University, Chiba, Japan

    Akinori Abe

  7. School of Engineering, The University of Tokyo, Tokyo, Japan

    Junichiro Mori

  8. Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

    Naohiro Matsumura

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Toriumi, F., Yamamoto, H., Okada, I. (2020). Rewards Visualization System Promotes Information Provision. In: Ohsawa, Y., et al. Advances in Artificial Intelligence. JSAI 2019. Advances in Intelligent Systems and Computing, vol 1128. Springer, Cham. https://doi.org/10.1007/978-3-030-39878-1_6

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