Skip to main content
SpringerLink
Log in

Multi-agent Social Simulation for Social Service Design

  • Conference paper
  • First Online:
Massively Multi-Agent Systems II (MMAS 2018)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Schoenauer, M., et al. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 849–858. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-45356-3_83

    Chapter  Google Scholar 

  2. Nakashima, H., et al.: One cycle of smart access vehicle service development. In: Maeno, T., Sawatani, Y., Hara, T. (eds.) Serviceology for Designing the Future, pp. 287–295. Springer, Tokyo (2014). https://doi.org/10.1007/978-4-431-55861-3_17

    Chapter  Google Scholar 

  3. Kobayashi, K., Narisawa, R., Yasui, Y., Fujisawa, K.: Experimental analyses of the evacuation planning model using lexicographically quickest flow (in japanese). Trans. Oper. Res. Soc. Jpn. 59, 86–105 (2016). https://doi.org/10.15807/torsj.59.86

    Article  Google Scholar 

  4. Miyachi, M., Noda, I.: Evaluation method for gradual introduction of demand-responsible public transportation system by simulation. In: Proceedings of WSSIT. ICS1, March 2015

    Google Scholar 

  5. Mizuta, T., Kosugi, S., Kusumoto, T., Matsumoto, W., Izumi, K.: Effects of darkpools on financial markets’ efficiency and price discovery function: aninvestigation by multi-agent simulations. Evol. Inst. Econ. Rev. 12(2), 375–394 (2015). https://doi.org/10.1007/s40844-015-0020-3

    Article  Google Scholar 

  6. Murase, Y., Uchitane, T., Ito, N.: A tool for parameter-space explorations. Phys. Procedia 57, 73–76 (2014)

    Article  Google Scholar 

  7. Nakashima, H., et al.: Design of the smart access vehicle system with large scale MA simulation. In: Proceedings of the 1st International Workshop on Multiagent-based Societal Systems (MASS 2013), May 2013

    Google Scholar 

  8. Noda, I.: Project CASSIA: framework for administration of social simulations on massively parallel computers. In: Proceedings ofd ATIP workshop 2014 in SC14, November 2014

    Google Scholar 

  9. Noda, I., Ito, N., Izumi, K., Mizuta, H., Kamada, T., Hattori, H.: Roadmap and research issues of multiagent social simulation using high-performance computing. J. Comput. Soc. Sci. 1(1), 155–166 (2018)

    Article  Google Scholar 

  10. Noda, I., et al.: Roadmap for multiagent social simulation on HPC. In: Kurihara, S., Hattori, H. (eds.) Proceedings of DOCMAS-WEIN 2015, December 2015

    Google Scholar 

  11. Noda, I., Masayuki, O., Kumada, Y., Nakashima, H.: Usability of dial-a-ride systems. In: Proceedings of AAMAS-2005, p. 726, July 2005

    Google Scholar 

  12. Ohta, M., Shinoda, K., Noda, I., Kurumatani, K., Nakashima, H.: Usability of demand-bus in town area. Technical report 2002-ITS-11-33, vol. 2002, no. 115, ISSN 0919–6072, Reports of ITS meeting in IPSJ, November 2002

    Google Scholar 

  13. Osogami, T., et al.: IBM mega traffic simulator. IBM Res. Dev. J. (2013). RT0896

    Google Scholar 

  14. Torii, T., Izumi, K., Yamada, K.: Shock transfer by arbitrage trading: analysis using multi-asset artificial market. Evol. Inst. Econ. Rev. 12(2), 395–412 (2016)

    Article  Google Scholar 

  15. Yamashita, T., Okada, T., Noda, I.: Implementation of simulation environment for exhaustive analysis of huge-scale pedestrian flow. SICE JCMSI 6(2), 137–146 (2013)

    Article  Google Scholar 

  16. Yamashita, T., Soeda, S., Onishi, M., Noda, I.: Development and application of high-speed evacuation simulator with one-dimensional pedestrian model. J. Inf. Process. Soc. Jpn. 53(7), 1732–1744 (2012)

    Google Scholar 

  17. Yonenoh, H., Izumi, K.: Destabilization effect of var-based risk management on a multiple-asset market: An artificial market approach. In: 23rd International Symposium on Artificial Life and Robotics (AROB 2018) (2018)

    Google Scholar 

Download references

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).

Author information

Authors and Affiliations

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

    Itsuki Noda

Authors
  1. Itsuki Noda
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Itsuki Noda .

Editor information

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

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20936-0

  • Online ISBN: 978-3-030-20937-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation