Abstract: Autonomous agents are believed to have control over their internal state and over their behaviour. For that reason, an agent should control how and by whom it is being influenced. We introduce a reasoning component for BDI-agents that deals with the control over external influences, and we propose heuristics using local knowledge to process incoming stimuli. One of those heuristics is based on informationrelevance with respect to the agent's current plans and goals. We have developed a way to determine the relevance of information in BDI-agents using magic sets from database research as basis. The method presented shows a new application of magic sets by applying the theory in agent systems.
Abstract: This research report investigates how computational modeling and simulation can be used to increase insight in organizational behaviour. Such an increased insight in organizational behaviour is to benefit system design and development for complex safety and security operations (such as incident management) in which different organizations are to cooperate, and perform their tasks by means of (shared) socio-technical information and communication systems.
Topics that are discussed in this research report are: the relevance of modeling & simulation for research and for system design & development; approaches to modeling and simulation; modeling of individual behaviour and social behaviour (on a team/organizational level); comparative criteria for models and tools; and validation and verification of models.
This research report concludes with a summary of its main findings, and recommendations for the use of organizational modeling and simulation for system design and development. The appendices provide an overview of modeling and simulation tools; and provide an overview of research institutes, conferences, journals and books that are relevant for organizational modeling and simulation.