Abstract
We explore the information processing capabilities and efficiency of DNA computations by giving two different types of implementations of finite-state machines. A ligation-based approach allows input of arbitrary length and can be readily implemented with current biotechnology, but requires sequential input feed and different molecules for different machines. In a second implementation not based on ligation, transitions are represented by reusable molecules, and the input, coded as a molecule, can be introduced at once. We extend the technique for programmable fault-tolerant implementation of nondeterministic finite-state machines by enforcings the basic conditions in the subset constructions that permit efficient computation. All implementations allow optical extraction of the status of the machine.
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Garzon, M. et al. (1998). In vitro implementation of finite-state machines. In: Wood, D., Yu, S. (eds) Automata Implementation. WIA 1997. Lecture Notes in Computer Science, vol 1436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031381
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DOI: https://doi.org/10.1007/BFb0031381
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