Debriefing Framework for Business Games Using Simulation Analysis

Takamasa Kikuchi, Yuji Tanaka, Masaaki Kunigami, Takashi Yamada, Hiroshi Takahashi, Takao Terano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationEvolutionary Computing and Artificial Intelligence - Essays Dedicated to Takao Terano on the Occasion of His Retirement
EditorsTakao Terano, Shihan Wang, Atsushi Yoshikawa, Fernando Koch
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9789811369353
Publication statusPublished - 2019 Jan 1
EventGeneral Conference on Emerging Arts of Research on Management and Administration, GEAR 2018 - Yokohama, Japan
Duration: 2018 Apr 142018 Apr 14

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


ConferenceGeneral Conference on Emerging Arts of Research on Management and Administration, GEAR 2018


  • Agent-based simulation
  • Business game
  • Simulation analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)


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