Inspired by the way a movie set works, this agent-based software framework increases a driving simulator's effectiveness by controlling the traffic scenarios dynamically . The framework divides the agents into actors (on the set) and crew (behind the scenes). Because the framework defines clear responsibilities for each agent, the system is extensible, maintainable, and easy to understand. The framework will also work for other multiagent systems, especially for simulation and game applications. This article is part of a special issue on interactive entertainment.
Index Terms:
multiagent systems, artificial intelligence, driving simulation
Citation:
Ingo Wassink, Betsy van Dijk, Job Zwiers, Anton Nijholt, Jorrit Kuipers, Arnd Brugman, "In The Truman Show: Generating Dynamic Scenarios in a Driving Simulator," IEEE Intelligent Systems, vol. 21, no. 5, pp. 28-32, Sep./Oct. 2006, doi:10.1109/MIS.2006.97