Implications
Often, models like cellular automata are used to help understanding of processes that work in real life. By building simplified models, new insights can be learned. There is always a question of how simple these models should be in order to adequately describe what is being modelled. The use of asynchronous models can allow an extra level of realism in the model. All of the schemes described above have their part in real life. The random independent scheme could be appropriate for modelling social networks or communication in computer networks. The clocked scheme could be appropriate for modelling insect colonies, while the self-synchronous scheme could be applied to neural tissue.
Read more about this topic: Asynchronous Cellular Automaton
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