Hierarchical reasoning: simulating complex processes over multiple levels of abstraction
Hierarchical reasoning: simulating complex processes over multiple levels of abstraction
Role of process abstraction in simulation
IEEE Transactions on Systems, Man and Cybernetics
Dynamic templates and semantic rules for simulation advisors and certifiers
Knowledge-based simulation
A multimodel methodology for qualitative model engineering
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Families of models that cross levels of resolution: issues for design, calibration and management
WSC '93 Proceedings of the 25th conference on Winter simulation
Consistency maintenance in multiresolution simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Heterogeneous decomposition and inter-level coupling for combined modeling
WSC '91 Proceedings of the 23rd conference on Winter simulation
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Ruminations on the Implications of Multi-Resolution Modeling on DIS/HLA
DIS-RT '99 Proceedings of the 3rd International Workshop on Distributed Interactive Simulation and Real-Time Applications
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical Metamodeling
Requirements and design principles for multisimulation with multiresolution, multistage multimodels
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Observations on new developments in composability and multi-resolution modeling
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
DEVS in DSOL: adding devs operational semantics to a generic event-scheduling simulation environment
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
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The choice of resolution for a simulation model at a given scale is a trade-off between the level of accuracy offered by the model and the computational cost of its execution. The understanding of this trade-off requires insight in how model resolution and system scale influence accuracy and computational cost. This paper examines performance and accuracy measurements obtained from models of a simple scenario simulated at different spatial resolutions and different scales. The base model under consideration consists of a battalion formed by four tanks moving towards a fixed point on a two dimensional lattice with a certain height profile. Changes in computational cost and prediction accuracy are studied for different levels of spatial aggregation and model variations studying individual tanks and aggregated battalions. The findings are explained based on model specification choices and the adopted aggregation mechanisms. From this analysis, general propositions are derived which improve our understanding of multi-resolution modeling.