On time and space decomposition of complex structures
Communications of the ACM
On measuring the complexity of monitoring and controlling large-scale systems
IEEE Transactions on Systems, Man and Cybernetics
Role of process abstraction in simulation
IEEE Transactions on Systems, Man and Cybernetics
Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
A Rosetta stone for connectionism
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Simulation should be easy and fun!
WSC '93 Proceedings of the 25th conference on Winter simulation
Complexity of simulation models: a graph theoretic approach
WSC '93 Proceedings of the 25th conference on Winter simulation
A forum on crucial issues in the simulation of manufacturing systems
WSC '93 Proceedings of the 25th conference on Winter simulation
Families of models that cross levels of resolution: issues for design, calibration and management
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation modeling with event graphs
Communications of the ACM
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Computer Simulation in Management Science
Computer Simulation in Management Science
Software Structure Metrics Based on Information Flow
IEEE Transactions on Software Engineering
On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
An appropriateness framework for the Dutch Meuse decision support system
Environmental Modelling & Software
Empirical investigations of conceptual modeling and the modeling process
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Interconnected DES models of emergency, outpatient, and inpatient departments of a hospital
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Structural and NVH analyses of mixed thin-walled structures using FEA concept models
International Journal of Computer Applications in Technology
Proceedings of the 40th Conference on Winter Simulation
Geometrical complexity of data approximators
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Hi-index | 0.98 |
he lack of a methodology, or at least detailed guidelines, for choosing the best model in a mathematical or computer modelling study stems from a poor understanding of the precise ways in which the success of the study depends upon the particular model used. As a result, the choice of the best model is regarded as more of an art than a science. In order to improve the model selection process, model performance needs to be clearly defined, and suitable model attributes identified that can be used to predict the performance of the alternative candidate models. This paper distinguishes the different aspects of model performance and considers the extent to which they can be measured. The most common attributes used to compare alternative models are level of detail and complexity although these terms are used in a number of different ways. The meanings of these concepts are therefore discussed and the likely relationships with the model performance elements considered. The related area of simplification is reviewed and the areas in which further work is required are set out.