@article {16432,
	title = {Participatory simulation as a tool for agent-based simulation},
	journal = {Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART-09)},
	year = {2009},
	month = {2009///},
	abstract = {Participatory simulation, as described by Wilensky \& Stroup (1999c), is a form of agent-based simulation inwhich multiple humans control or design individual agents in the simulation. For instance, in a participatory
simulation of an ecosystem, fifty participants might each control the intake and output of one agent, such
that the food web emerges from the interactions of the human-controlled agents. We argue that participatory
simulation has been under-utilized outside of strictly educational contexts, and that it provides myriad
benefits to designers of traditional agent-based simulations. These benefits include increased robustness of
the model, increased comprehensibility of the findings, and simpler design of individual agent behaviors. To
make this argument, we look to recent research such as that from crowdsourcing (von Ahn, 2005) and the
reinforcement learning of autonomous agent behavior (Abbeel, 2008).
},
	author = {Berland,M. and Rand, William}
}
