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Pictorial and Alphabet Writings in Asymmetric Signaling Games

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New Frontiers in Artificial Intelligence (JSAI-isAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10838))

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Abstract

The goal of the paper is to differentiate the pictorial writings and alphabet writings (i.e. Chinese vs English) in signaling games. The idea is to emphasize the asymmetry of communicators’ different cognitive statuses while they are writing and reading by using these two types of languages. For fulfilling the idea, we study two variations of the standard evolutionary signaling game in order to incorporate players’ asymmetry on recognizing and learning signals. It is found that pictorial representation takes more advantages in the early stage of the development of a language, while alphabet representation works better in the long run.

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Notes

  1. 1.

    In this paper, we focus on writings.

  2. 2.

    This response rule is used in Zollman’s work [1] to study forgetting in evolutionary games.

  3. 3.

    The assumption of a different probability on the state set is essential. With the same probability on the states, the behavior of the two models are almost the same.

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Acknowledgements

The author would like to acknowledge Kevin Zollman and Igor Yanovich whose helps and suggestions aided in the preparation of the manuscript. The author wishes to thank the editor and two anonymous reviewers for their valuable comments on the manuscript. The research reported in this paper was supported by Humanity and Social Science Youth Foundation of Ministry of Education of China (17YJC72040004).

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Authors and Affiliations

  1. Institute of Logic and Cognition, Department of Philosophy, Sun Yat-sen University, Guangzhou, China

    Liping Tang

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  1. Liping Tang
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Correspondence to Liping Tang .

Editor information

Editors and Affiliations

  1. Chiba University, Chiba, Japan

    Sachiyo Arai

  2. National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan

    Kazuhiro Kojima

  3. Ochanomizu University, Tokyo, Japan

    Koji Mineshima

  4. Ochanomizu University, Tokyo, Japan

    Daisuke Bekki

  5. National Institute of Informatics, Tokyo, Japan

    Ken Satoh

  6. Fujitsu Laboratories Limited, Kanagawa, Japan

    Yuiko Ohta

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Tang, L. (2018). Pictorial and Alphabet Writings in Asymmetric Signaling Games. In: Arai, S., Kojima, K., Mineshima, K., Bekki, D., Satoh, K., Ohta, Y. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in Computer Science(), vol 10838. Springer, Cham. https://doi.org/10.1007/978-3-319-93794-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-93794-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93793-9

  • Online ISBN: 978-3-319-93794-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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