SeSAm: implementation of agent-based simulation using visual programming
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
How to design agent-based simulation models using agent learning
Proceedings of the Winter Simulation Conference
PROGRAMMING AGENT BEHAVIOR BY LEARNING IN SIMULATION MODELS
Applied Artificial Intelligence - Eighth European Workshop on Multi-Agent Systems EUMAS 2010
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Designing the agent model in a multiagent simulation is a challenging task due to the generative nature of such systems. In this contribution we present an extension to the multiagent simulation platform SeSAm, introducing a learning-based design strategy for building agent behavior models.