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Multi-agent Social Simulation for Social Service Design

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Massively Multi-Agent Systems II (MMAS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11422))

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Abstract

Multi-agent social simulation (MASS) can be a powerful tool for designing social systems and services. Due to increases in computational power and progress in the social big data field, we can now apply MASS to real social systems, such as urban traffic and disaster response scenarios. Here, we demonstrate several MASS applications and discuss future possibilities and issues in this emerging domain.

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Acknowledgement

The authors acknowledges partial support from MEXT as part of the “Exploratory Challenges on Post-K computer (Studies of multi-level spatiotemporal simulation of socioeconomic phenomena)”. This research used the computational resources of the K computer provided by the RIKEN Center for Computational Science through the HPCI System Research project (Project ID: hp170266 and hp170345).

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Authors and Affiliations

  1. The National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

    Itsuki Noda

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  1. Itsuki Noda
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Correspondence to Itsuki Noda .

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Editors and Affiliations

  1. Kyoto University, Kyoto, Japan

    Donghui Lin

  2. Kyoto University, Kyoto, Japan

    Toru Ishida

  3. University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Franco Zambonelli

  4. National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

    Itsuki Noda

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Noda, I. (2019). Multi-agent Social Simulation for Social Service Design. In: Lin, D., Ishida, T., Zambonelli, F., Noda, I. (eds) Massively Multi-Agent Systems II. MMAS 2018. Lecture Notes in Computer Science(), vol 11422. Springer, Cham. https://doi.org/10.1007/978-3-030-20937-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-20937-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20936-0

  • Online ISBN: 978-3-030-20937-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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