About: Performance limits and trade-offs in entropy-driven biochemical computers

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
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Title	Performance limits and trade-offs in entropy-driven biochemical computers
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2018-02-03
Creator	Dominique Chu
status	peer reviewed published
Publisher	Elsevier
abstract	The properties and fundamental limits of chemical computers have recently attracted significant interest as a model of computation, an unifying principle of cellular organisation and in the context of bio-engineering. As of yet, research in this topic is based on case-studies. There exists no generally accepted criterion to distinguish between chemical processes that compute and those that do not. Here, the concept of entropy driven computer (EDC) is proposed as a general model of chemical computation. It is found that entropy driven computation is subject to a trade-off between accuracy and entropy production, but unlike many biological systems, there are no trade-offs involving time. The latter only arise when it is taken into account that the observation of the state of the EDC is not energy neutral, but comes at a cost. The significance of this conclusion in relation to biological systems is discussed. Three examples of biological computers, including an implementation of a neural network as an EDC are given.
Is Part Of	Journal of Theoretical Biology https://kar.kent.ac.uk/id/repository
Subject	Q Science
list of authors	https://kar.kent.ac.uk/id/eprint/59768#authors
volume	443
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #59768 Performance limits and trade-offs in entropy-driven biochemical computers

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