Identifying Generative Mechanisms from Spatiotemporal Patterns in Diffusion Phenomena

摘要

Various phenomena such as natural and social ones present us inexhaustible amount of spatial patterns. There are many studies for physical and mathematical models to understand these phenomena. On the other hand, inverse problems can be posed for these studies. An earlier work studied an identification method of generative mechanisms from spatiotemporal patterns as cellular automata (CA) rules. This note applies the identification method to spatiotemporal patterns generated by real diffusion phenomena. The effectiveness of the identifying method is evaluated for the real diffusion phenomena.