Agent-Based Social Simulation as an Aid to Communication Between Stakeholders

Various methods provided in conventional agent-based social simulation (ABSS) research are useful for modelers and analysts in evaluating its effectiveness. We know very little about how ABSS contributes to the decision-making process for practical business problems when used by managers and employees who are not familiar with it. In this research we talked to stakeholders in two complex and uncertain business situations about using the simulation results with our models. We found that ABSS helped to promote communication between stakeholders.

[1]  Takao Terano,et al.  Agent-Based In-Store Simulator for Analyzing Customer Behaviors in a Super-Market , 2009, KES.

[2]  Michael Jackson,et al.  Systems Thinking: Creative Holism for Managers , 2003 .

[3]  Kotaro Ohori,et al.  Virtual Grounding for Facsimile Model Construction Where Real Data Is not Available , 2013 .

[4]  Mauro Gallegati,et al.  Validating and Calibrating Agent-Based Models: A Case Study , 2007 .

[5]  Hiroshi Deguchi,et al.  Searching Effective Policies to Prevent Bird flu Pandemic in Bandung City Using Agent Based Simulation , 2007 .

[6]  François Bousquet,et al.  Using Self-Designed Role-Playing Games and a Multi-Agent System to Empower a Local Decision-Making Process for Land Use Management: The SelfCormas Experiment in Senegal , 2003, J. Artif. Soc. Soc. Simul..

[7]  Noriyuki Kobayashi,et al.  Decision Support for Management of Agents' Knowledge and Skills with Job Rotation in Service-Oriented Organization , 2012, 2012 45th Hawaii International Conference on System Sciences.

[8]  Toru Ishida,et al.  Modeling Human Behavior for Virtual Training Systems , 2005, AAAI.

[9]  Kotaro Ohori,et al.  Market design for standardization problems with agent-based social simulation , 2010, Journal of Evolutionary Economics.

[10]  Olivier Barreteau,et al.  Multi-agent systems and role games : collective learning processes for ecosystem management , 2002 .

[11]  T. Schelling Models of Segregation , 1969 .

[12]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[13]  Hajime Kita,et al.  Agent-Based Approaches in Economic and Social Complex Systems IV: Post-Proceedings of The AESCS International Workshop 2005 , 2007 .

[14]  Roberto Leombruni,et al.  A Common Protocol for Agent-Based Social Simulation , 2006, J. Artif. Soc. Soc. Simul..

[15]  W. Ulrich,et al.  Beyond methodology choice: critical systems thinking as critically systemic discourse , 2003, J. Oper. Res. Soc..

[16]  Björn P. Stahmer,et al.  SimMarket: Multiagent-Based Customer Simulation and Decision Support for Category Management , 2003, MATES.

[17]  Shingo Takahashi,et al.  Landscape Analysis of Possible Outcomes , 2011 .

[18]  Shinichi Honiden,et al.  Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games , 2006, J. Artif. Soc. Soc. Simul..

[19]  Paul Windrum,et al.  A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems , 2007 .