Abstract
Developing models that effectively model human behavior and activities in social phenomena requires a tight collaboration between designers, experts and end-users. This paper presents an approach based on participatory design to find the most effective ways to succeed in this endeavor. Building up from a case study in emergency management, we identify three key design activities that have proven essential to be articulated so that users knowledge is elicited with ease and efficiency. The first is the design of the user-interface, the second the design of scenarios and the third the design of the experimental protocol. These activities pave the way for a first step towards a complete methodology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nguyen-Duc, M., Drogoul, A.: Using computational agents to design participatory social simulations. Journal of Artificial Societies and Social Simulation 10(4), 5 (2007), http://jasss.soc.surrey.ac.uk/10/4/5.html
Guyot, P., Honiden, S.: Agent-based participatory simulations: Merging multi-agent systems and role-playing games. Journal of Artificial Societies and Social Simulation 9(4) (2006), http://jasss.soc.surrey.ac.uk/9/4/8.html
Guyot, P., Drogoul, A., Lemaitre, C.: Using emergence in participatory simulations to design multi-agent systems. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2005), New York, USA, pp. 199–203 (2005)
Ishida, T.: Society-Centered Design for Socially Embedded Multiagent Systems. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds.) CIA 2004. LNCS (LNAI), vol. 3191, pp. 16–29. Springer, Heidelberg (2004)
Ishida, T., Nakajima, Y., Murakami, Y., Nakanishi, H.: Augmented experiment: Participatory design empowered by multiagent simulation. In: IJCAI-2007 (2007)
Murakami, Y., Ishida, T., Kawasoe, T., Hishiyama, R.: Scenario description for multi-agent simulation. In: AAMAS-2003, Melbourne, Australia (2003)
Guyot, P., Drogoul, A.: Multi-Agent Based Participatory Simulations on Various Scales. In: Ishida, T., Gasser, L., Nakashima, H. (eds.) MMAS 2005. LNCS (LNAI), vol. 3446, pp. 149–160. Springer, Heidelberg (2005)
Guyot, P., Drogoul, A., Honiden, S.: Power and vegotiation: lessons from agent-based participatory simulations. In: AAMAS-2006, pp. 27–33 (2006)
Bødker, S., Grønbæk, K.: Cooperative prototyping studies - users and designers envision a dental case record system. In: Studies in Computer Supported Cooperative Work: Theory, Practice and Design. Elsevier Science Publishers/North Holland, Amsterdam (1991)
Bødker, S., Grønbæk, K.: Cooperative prototyping: users and designers in mutual activity. International Journal of Man-Machine Studies (1991)
Bødker, S., Grønbæk, K., Kying, M.: Cooperative design: techniques and experiences from the scandinavian scene. In: Participatory Design: Principles and Practices. Lawrence Erlbaum Associates, Hillsdale (1993)
Grønbæk, K.: Prototyping and active user involvement in system development: Towards a cooperative prototyping approach. Ph.D. thesis, Aarhus University (1991)
Fiedrich, F.: An HLA-based multiagent system for optimized resource allocation after strong earthquakes. In: Proceedings of the 2006 Winter Simulation Conference, Washington, USA (2006)
Takahashi, T.: Agent-based disaster simulation evaluation and its probability model interpretation. In: Proceedings of ISCRAM 2007, Delft, The Netherlands (2007)
Nguyen, H.-P.: Decision support systems applied to earthquake and tsunami risk assessment and loss mitigation. In: Proceedings of IHOCE 2005, Kuala Lumpur, Malaysia (2005)
Sempé, F., Nguyen-Duc, M., Boissau, S., Boucher, A., Drogoul, A.: An Artificial Maieutic Approach for Eliciting Experts’ Knowledge in Multi-Agent Simulations. In: Sichman, J.S., Antunes, L. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, pp. 75–87. Springer, Heidelberg (2006)
Chu, T.-Q., Boucher, A., Drogoul, A., Vo, D.-A., Nguyen, H.-P., Zucker, J.-D.: Interactive Learning of Expert Criteria for Rescue Simulations. In: Bui, T.D., Ho, T.V., Ha, Q.T. (eds.) PRIMA 2008. LNCS (LNAI), vol. 5357, pp. 127–138. Springer, Heidelberg (2008)
Suárez, S., López, B., De La Rosa, L.-J.: Co-operation strategies for strengthening civil agents’ lives in the RoboCup-Rescue simulator scenario. In: Proceedings of First International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster, Padova (2003)
Farinelli, A., Grisetti, G., Iocchi, L., Lo Cascio, S., Nardi, D.: Using the RoboCup-Rescue Simulator in an Italian Earthquake Scenario. In: The Program Agenzia 2000 of the Italian Consiglio Nazionale delle Ricerche (2000)
Amouroux, E., Chu, T.-Q., Boucher, A., Drogoul, A.: GAMA: An Environment for Implementing and Running Spatially Explicit Multi-Agent Simulations. In: Ghose, A., Governatori, G., Sadananda, R. (eds.) PRIMA 2007. LNCS, vol. 5044, pp. 359–371. Springer, Heidelberg (2009)
Gilbert, N., Maltby, S., Asakawa, T.: Participatory simulations for developing scenarios in environmental resource management. In: Urban, C. (ed.) 3rd Workshop on Agent-Based Simulation, pp. 67–72. SCS-Europe, Passau (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chu, TQ., Drogoul, A., Boucher, A., Jucker, JD. (2012). Towards a Methodology for the Participatory Design of Agent-Based Models. In: Desai, N., Liu, A., Winikoff, M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science(), vol 7057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25920-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-25920-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25919-7
Online ISBN: 978-3-642-25920-3
eBook Packages: Computer ScienceComputer Science (R0)