Evidence Based Decision Making in Blockchain Economic Systems: From Theory to Practice [article]

Marek Laskowski, Michael Zargham, Hjalmar Turesson, Matt Barlin, Danil Kabanov, Eden Dhaliwal
2020 arXiv   pre-print
We present a methodology for evidence based design of cryptoeconomic systems, and elucidate a real-world example of how this methodology was used in the design of a blockchain network. This work provides a rare insight into the application of Data Science and Stochastic Simulation and Modelling to Token Engineering. We demonstrate how the described process has the ability to uncover previously unexpected system level behaviors. Furthermore, it is observed that the process itself creates
more » ... ities for the discovery of new knowledge and business understanding while developing the system from a high level specification to one precise enough to be executed as a computational model. Discovery of performance issues during design time can spare costly emergency interventions that would be necessary if issues instead became apparent in a production network. For this reason, network designers are increasingly adopting evidence-based design practices, such as the one described herein.
arXiv:2001.03020v2 fatcat:pjh7ayk2vrentmqidxsp5a6v7u