Simulation modeling with event graphs
Communications of the ACM
Simkit: component based simulation modeling with Simkit
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
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
Proceedings of the 38th conference on Winter simulation
Dynamic allocation of fires and sensors (DAFS): a low-resolution simulation for rapid modeling
Proceedings of the 38th conference on Winter simulation
Composability and component-based discrete event simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Using a low-resolution entity model for shaping initial conditions for high-resolution combat models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A simulation model for military deployment
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
The effects of time advance mechanism on simple agent behaviors in combat simulations
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
A comparison of the accuracy of discrete event and discrete time
Proceedings of the Winter Simulation Conference
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Many scenarios involving simulation require modeling movement and sensing. Traditionally, this has been done in a time-stepped manner, often because of a mistaken belief that using a pure discrete event approach is infeasible. This paper discusses how simple motion (linear, uniform, two-dimensional) and simple sensing can be modeled with a pure Discrete Event approach. We demonstrate that this approach is not only feasible, it is often more desirable from several standpoints.