Formalizing a Language for Institutions and Norms
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Autonomous Agents and Multi-Agent Systems
An architecture of a normative system: counts-as conditionals, obligations and permissions
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Non-normative Behaviour in Multi-agent System: Some Experiments in Traffic Simulation
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Unique Character Instances for Crowds
IEEE Computer Graphics and Applications
Adaptation of autonomic electronic institutions through norms and institutional agents
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
The Use of Norms Violations to Model Agents Behavioral Variety
Coordination, Organizations, Institutions and Norms in Agent Systems IV
Formalizing the construction of populations in multi-agent simulations
Engineering Applications of Artificial Intelligence
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In multi-agent systems simulations, reproducing realistic behaviors is a crucial issue. Their variety and consistency are important factors, usually not specifically considered. In this paper, we propose a behavioral differentiation model designed (1) to generate various and consistent behaviors, and (2) to control the determinism of this generation. Based on a normative system and a nondeterministic generation engine, it allows users adapting it easily to their various needs. Finally, we show its application to the traffic simulation software developed and used at Renault, SCANeR(c) II.