Скачать или смотреть NetLogo Python Demo - Emergency Department

Emergency Department (ED) at hospitals has evolved in wide range of services which it offers, but still lacking the most common problem of long wait for treatment and overcrowding. There are situations where the demand for emergency services exceeds the ability of an ED to provide quality care within acceptable time frames. Complex Adaptive System (CAS) is a branch of science that empowers to learn the interactions in an interdisciplinary field. CAS concepts provide a relatively novel approach to map the various processes in ED to complex behaviors such as interdependency, adaptability, dynamics, information processing and emergence. In this project, an agent based model of ED is created in NetLogo to identify the system properties that contribute to increase/decrease in wait times. Python is the user interface to perform experiments where R-project is used as a link to couple Python and NetLogo.