Cellular Automata, Agents with Mobility and GIS for Practical Problems

摘要

Some real applications of improved cellular automata models are considered. Considered improvement of models concerned the using real data applications from GIS and incorporating the concepts from other methodologies - especially neural networks and learning. We describe models which allow considering different processes in the case of Ukrainian capital Kyiv. Migration processes and voting processes have been considered. New ways of cellular automata development are discussed.