Abstract

Computing by Observing is a paradigm for the implementation of models of Natural Computing. It was inspired by the setup of experiments in biochemistry. One central feature is an observer that translates the evolution of an underlying observed system into sequences over a finite alphabet. We take a step toward more realistic observers by allowing them to notice only an occurring change in the observed system rather than to read the system’s entire configuration. Compared to previous implementations of the Computing by Observing paradigm, this decreases the computational power; but with relatively simple systems we still obtain the language class generated by matrix grammars.

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