Planning and control
An introduction to intelligent and autonomous control
An introduction to intelligent and autonomous control
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Infrastructure for rapid execution of strike-planning systems
WSC '95 Proceedings of the 27th conference on Winter simulation
Robot Motion Planning
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation Model Design and Execution: Building Digital Worlds
Simulation Model Design and Execution: Building Digital Worlds
Infrastructure for rapid execution of strike-planning systems
WSC '95 Proceedings of the 27th conference on Winter simulation
Movement simulation and management of cooperating objects in CGF systems: a case study
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
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Decision making is an active area of research in simulation, systems engineering and artificial intelligence. One subset area of decision making, automated route planning, is covered with our approach being based on the technique of simulation rather than on purely heuristic or geometric techniques. This new technique is called simulation-based planning. Simulation-based planning is useful for route planning under various conditions including uncertain locations and events with potential adversarial activity. We claim that it is only by using simulation that one can make the most effective plan in uncertain and complex environments. An experimental design is outlined along with our plans for further development.