Daniel Toker et al. develop the Chaos Decision Tree Algorithm, a method for automatically assessing the presence and degree of chaos from empirical measurements. This study suggests that researchers can use this code to detect stochasticity, periodicity, or chaos in noisy empirical measurements.
- Daniel Toker
- Friedrich T. Sommer
- Mark D’Esposito