Add to ORKGThe decision on the fitness for purpose of a simulation should be based on the quantity of interest. However, in general, models are used because there is no complete experimental information available on the quantity of interest, so a direct judgement is not possible. The aim of this article is to put in light this dichotomy, and propose a methodology to decide if a simulation is fit for purpose, based on the experimental data available and an ensemble of simulations. The methodology is illustrated with one example of microscale simulations
Simulation is the construction and use of a computer-based representation, or model, of some part of...
In many practical problems, simulation models are used to support complex decision-making processes ...
The main problem encountered while conducting simulation experiments is referring an accepted model...
Many simulation practitioners can get more from their analyses by using the statistical theory on de...
The decision rules in simulation models of human behavior purport to describe decision-making behavi...
Thirty years of research on validation and verification have returned a plethora of methods and stat...
How can Simulation help in design and Decision Making? What are the emerging tools for the above? Ho...
The concept of fidelity in a simulation model has become one of great contention among simulation re...
In this tutorial we consider the problem of finding the best set up to use for a system, where the o...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
A longstanding topic of discussion among simulation users is what types of learning objectives are a...
We are surrounded by complexity and uncertainty that constrain our ability to learn and understand t...
Much effort goes into building and validating simulation models. Similar care is necessary in the us...
Many simulation practitioners can get more from their analyses by using the statistical theory on de...
The determination of the optimal strategy for the development of regions both in Europe and in the i...
Simulation is the construction and use of a computer-based representation, or model, of some part of...
In many practical problems, simulation models are used to support complex decision-making processes ...
The main problem encountered while conducting simulation experiments is referring an accepted model...
Many simulation practitioners can get more from their analyses by using the statistical theory on de...
The decision rules in simulation models of human behavior purport to describe decision-making behavi...
Thirty years of research on validation and verification have returned a plethora of methods and stat...
How can Simulation help in design and Decision Making? What are the emerging tools for the above? Ho...
The concept of fidelity in a simulation model has become one of great contention among simulation re...
In this tutorial we consider the problem of finding the best set up to use for a system, where the o...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
A longstanding topic of discussion among simulation users is what types of learning objectives are a...
We are surrounded by complexity and uncertainty that constrain our ability to learn and understand t...
Much effort goes into building and validating simulation models. Similar care is necessary in the us...
Many simulation practitioners can get more from their analyses by using the statistical theory on de...
The determination of the optimal strategy for the development of regions both in Europe and in the i...
Simulation is the construction and use of a computer-based representation, or model, of some part of...
In many practical problems, simulation models are used to support complex decision-making processes ...
The main problem encountered while conducting simulation experiments is referring an accepted model...