Computation by natural systems | Zendy

Dominique Chu | Zendy; Mikhail Prokopenko | Zendy; J. Christian J. Ray | Zendy

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Computation by natural systems

Author(s) -

Dominique Chu,

Mikhail Prokopenko,

J. Christian J. Ray

Publication year - 2018

Publication title -

interface focus

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.1

H-Index - 49

eISSN - 2042-8901

pISSN - 2042-8898

DOI - 10.1098/rsfs.2018.0058

Subject(s) - natural computing , computer science , computation , von neumann architecture , cellular automaton , natural (archaeology) , artificial intelligence , biological network , class (philosophy) , data science , living matter , evolutionary computation , living systems , theoretical computer science , cognitive science , bioinformatics , algorithm , biology , programming language , psychology , paleontology

Computation is a useful concept far beyond the disciplinary boundaries of computer science. Perhaps the most important class of natural computers can be found in biological systems that perform computation on multiple levels. From molecular and cellular information processing networks to ecologies, economies and brains, life computes. Despite ubiquitous agreement on this fact going back as far as von Neumann automata and McCulloch–Pitts neural nets, we so far lack principles to understand rigorously how computation is done in living, or active, matter. What is the ultimate nature of natural computation that has evolved, and how can we use these principles to engineer intelligent technologies and biological tissues?

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