Introduction to military training simulation: a guide for discrete event simulationists
Proceedings of the 30th conference on Winter simulation
Simulation modeling with event graphs
Communications of the ACM
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Scientific Computing and Differential Equations: An Introduction to Numerical Methods
Scientific Computing and Differential Equations: An Introduction to Numerical Methods
Modeling very large scale systems: building complex models with LEGOs (Listener Event Graph Objects)
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simple movement and detection in discrete event simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 40th Conference on Winter Simulation
A comparison of the accuracy of discrete event and discrete time
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
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We investigate the effects of time advance mechanisms on the behavior of agents in combat simulations using some simple scenarios relevant to combat and agent-based models. We implement these simulation designs in two modeling packages that illustrate the differences between discrete-time simulation (DTS) and discrete-event simulation (DES) methodologies. Many combat models use DTS as their simulation time advance mechanism. We demonstrate that the presence and size of the time step as a modeling component can have a substantial impact on the basic characteristics of agent and simulation performance. We show that the use of a DTS method can degrade the modeling accuracy of changes in agent sensor range and detection outcomes, and also can compromise the ability of agents to travel to specific target destinations in a spatial simulation environment. We conclude that DES methodology successfully addresses these problems and is preferred as a time advance mechanism in these situations.