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Debriefing Framework for Business Games Using Simulation Analysis

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Evolutionary Computing and Artificial Intelligence (GEAR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 999))

Abstract

Researchers are aware of the importance of debriefing in gaming. However, there has been little progress in establishing a methodology for evaluating player behavior. Therefore, we propose a framework to support the evaluation of player behavior in business games using computers. Specifically, we introduce a simulation analysis methodology that involves the following steps: (1) constructing an agent-based model based on the subject of the business game and categorizing simulation-logs; and (2) mapping logs of player behavior onto typed results. In this way, the positioning of the player in the overall simulation scenario is visualized, and a range of possible results is presented. Both players and facilitators receive information that is useful for debriefing.

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References

  1. Arai, K., Deguchi, H., Kaneda, T., Kato, F., Nakamura, M.: Gaming Simulation. Union of Japanese Scientist and Engineers (1998). (in Japanese)

    Google Scholar 

  2. Koshiyama, O., Kunigami, M., Yoshikawa, A., Terano, T.: Analyzing behaviors of business game learners using a modified performance sheet. Stud. Simul. Gaming 21(2), 86–95 (2011). (in Japanese)

    Google Scholar 

  3. Terano, T.: Learning business decisions through cases and games. J. Soc. Instrum. Control Eng. 46(1), 44–50 (2007). (in Japanese)

    Google Scholar 

  4. Fujimori, H.: Alexander Islands. University of Tsukuba Graduate School of Business Science, Otsuka, Bunkyo-ku, Tokyo (1999)

    Google Scholar 

  5. U-Mart WEB page. http://www.u-mart.org/html/. Accessed 20 Feb 2018

  6. Inoue, A.: Gamification. NHK Publishing (2012)

    Google Scholar 

  7. Terano, T., Koyama, Y.: Gamification: designing the world as games. J. Soc. Instrum. Control Eng. 54(7), 494–500 (2015)

    Google Scholar 

  8. Nakano, K., Matsuyama, S., Terano, T.: Research on a learning system toward integration of case method and business gaming. In: Proceedings on the 4th International Workshop on Agent-based Approach in Economic and Social Complex Systems (AESCS 2007), pp. 21–32 (2007)

    Google Scholar 

  9. Kobayashi, T., Takahashi, S., Kunigami, M., Yoshikawa, A., Terano T.: Is there innovation or deviation? Analyzing emergent organizational behaviors through an agent based model and a case design. In: Proceedings on the 5th International Conference on Information, Process, and Knowledge Management (eKNOW 2013), pp. 166–171 (2013)

    Google Scholar 

  10. Goto, Y., Sugimoto, A., Takizawa, Y., Takahashi, S.: Methodology for facilitating understandings of complex agent-based models by gaming. Trans. Inst. Syst. Control Inf. Eng. 27(7), 290–298 (2014). (in Japanese)

    Google Scholar 

  11. Tanaka, Y., Kunigami, M., Terano, T.: What can be learned from the systematic analysis of the log cluster of agent simulation. Stud. Simul. Gaming 27(1), 31–41 (2017). (in Japanese)

    Google Scholar 

  12. Shin, H.S.: Risk and Liquidity, 1st edn. Oxford University Press, Oxford (2010)

    Google Scholar 

  13. Kikuchi, T., Kunigami, M., Yamada, T., Takahashi, H., Terano, T.: Analysis of the influences of central bank financing on operative collapses of financial institutions using agent-based simulation. In: IEEE the 40th Annual International Computers, Software & Applications Conference, The 3rd International Workshop on Social Services Through Human and Artificial Agent Models (2016)

    Google Scholar 

  14. Kuroda, H., Kato, I.: Tokyo Money Market. Totan Research ed., 7th edn., Yuhikaku (2009) (in Japanese)

    Google Scholar 

  15. FSA WEB page. http://www.fsa.go.jp/policy/basel_ii/basel3.pdf. Accessed 20 Feb 2018

  16. Luenberger, D.G.: Investment Science. Oxford University Press, New York (1997)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Keio University, 4-1-1 Hiyoshi Kohoku-ku, Yokohama, Kanagawa, Japan

    Takamasa Kikuchi & Hiroshi Takahashi

  2. Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, Japan

    Yuji Tanaka & Masaaki Kunigami

  3. Yamaguchi University, 1677-1 Yoshida, Yamaguchi-shi, Yamaguchi, Japan

    Takashi Yamada

  4. Chiba University of Commerce, 1-3-1 Konodai, Ichikawa-shi, Chiba, Japan

    Takao Terano

Authors
  1. Takamasa Kikuchi
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  2. Yuji Tanaka
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  3. Masaaki Kunigami
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  4. Takashi Yamada
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  5. Hiroshi Takahashi
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  6. Takao Terano
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Corresponding author

Correspondence to Takamasa Kikuchi .

Editor information

Editors and Affiliations

  1. University of Melbourne, Melbourne, VIC, Australia

    Fernando Koch

  2. Tokyo Institute of Technology, Tokyo, Japan

    Atsushi Yoshikawa

  3. University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Shihan Wang

  4. Chiba University of Commerce, Tokyo, Japan

    Takao Terano

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Kikuchi, T., Tanaka, Y., Kunigami, M., Yamada, T., Takahashi, H., Terano, T. (2019). Debriefing Framework for Business Games Using Simulation Analysis. In: Koch, F., Yoshikawa, A., Wang, S., Terano, T. (eds) Evolutionary Computing and Artificial Intelligence. GEAR 2018. Communications in Computer and Information Science, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-6936-0_8

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  • DOI: https://doi.org/10.1007/978-981-13-6936-0_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6935-3

  • Online ISBN: 978-981-13-6936-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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