Prediction Accuracy - A Measure of Simulation Reality
Abstract
Abstract: Nowadays, simulations are increasingly being used in many contexts, such as training and education in business and economics. The validity of the simulation outcomes is a key issue in simulations. Procedures and protocols for simulation model verification and validation are an ongoing field of academic study, research and development in simulations technology and practice. The present paper discusses the simulation models accuracy, how to measure and improve it in order to achieve better simulations results and provide more reliable insights and predictions about the real-life processes or systems. It presents results from international research done in Europe, Australia, and most recently in the United States.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
By submitting a paper for publishing the authors hereby comply with the following provisions: 1. The authors retain the copyrights and only give the journal the right for first publication while licensing the work under Creative Commons Attribution License, which grants permissions to others to share the contribution citing this journal as first publication of the text. 2. The authors may enter separate, additional contractual relations for non-exclusive distribution of the published version of the work in this journal (e.g. to upload it in an institutional depository, or to be published in a book), given that they cite the first publication in this journal. 3. The authors are allowed and are encouraged to publish their works online (e.g. to upload it in an institutional depository, personal websites, social networks, etc.) before, during, and after the submission of the paper here, because this may lead to productive exchange, as well as earlier and larger referencing of the published works (see The Effect of Open Access).