A standard form of citation of this article is:
Guyot, Paul and Honiden, Shinichi (2006). 'Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games'. Journal of Artificial Societies and Social Simulation 9(4)8 <https://www.jasss.org/9/4/8.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{guyot2006,
title = {Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games},
author = {Guyot, Paul and Honiden, Shinichi},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {4},
pages = {8},
year = {2006},
URL = {https://www.jasss.org/9/4/8.html},
keywords = {Agent-Based Participatory Simulations, Multi-Agent Systems, Role-Playing Games, Validation, Negotiation Support Tool},
abstract = {In 2001, Olivier Barreteau proposed to jointly use multi-agent systems and role-playing games for purposes of research, training and negotiation support in the field of renewable resource management. This joint use was later labeled the "MAS/RPG methodology" and this approach is one of the foundation stones of the ComMod movement.
In this article, we present an alternative method called "agent-based participatory simulations". These simulations are multi-agent systems where human participants control some of the agents. The experiments we conducted prove that it is possible to successfully merge multi-agent systems and role-playing games.
We argue that agent-based participatory simulations are also a significant improvement over the MAS/RPG approach, opening new perspectives and solving some of the problems generated by the joint use of role-playing games and multi-agent systems.
The advantages are at least threefold. Because all interactions are computer mediated, they can be recorded and this record can be processed and used to improve the understanding of participants and organizers alike. Because of the merge, agent-based participatory simulations decrease the distance between the agent-based model and the behavior of participants. Agent-based participatory simulations allow for computer-based improvements such as the introduction of eliciting assistant agents with learning capabilities.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games
AU - Guyot, Paul
AU - Honiden, Shinichi
Y1 - 2006/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 4
SP - 8
UR - https://www.jasss.org/9/4/8.html
KW - Agent-Based Participatory Simulations
KW - Multi-Agent Systems
KW - Role-Playing Games
KW - Validation
KW - Negotiation Support Tool
N2 - In 2001, Olivier Barreteau proposed to jointly use multi-agent systems and role-playing games for purposes of research, training and negotiation support in the field of renewable resource management. This joint use was later labeled the "MAS/RPG methodology" and this approach is one of the foundation stones of the ComMod movement. In this article, we present an alternative method called "agent-based participatory simulations". These simulations are multi-agent systems where human participants control some of the agents. The experiments we conducted prove that it is possible to successfully merge multi-agent systems and role-playing games. We argue that agent-based participatory simulations are also a significant improvement over the MAS/RPG approach, opening new perspectives and solving some of the problems generated by the joint use of role-playing games and multi-agent systems. The advantages are at least threefold. Because all interactions are computer mediated, they can be recorded and this record can be processed and used to improve the understanding of participants and organizers alike. Because of the merge, agent-based participatory simulations decrease the distance between the agent-based model and the behavior of participants. Agent-based participatory simulations allow for computer-based improvements such as the introduction of eliciting assistant agents with learning capabilities.
ER -