Learning from Nature

The developmental biology of a fly's bristles leads to a better computer network algorithm. The tradition of biologically inspired computing extends back more than half a century to the original musings of Alan Turing about artificial intelligence and John von Neumann's early work on self-...

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Bibliographic Details
Published inScience (American Association for the Advancement of Science) Vol. 331; no. 6018; pp. 682 - 683
Main Author Kephart, Jeffrey O.
Format Journal Article
LanguageEnglish
Published American Association for the Advancement of Science 11.02.2011
Subjects
Algorithms
Analog computers
Computer networking
Computer viruses
Immune system
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Summary:The developmental biology of a fly's bristles leads to a better computer network algorithm. The tradition of biologically inspired computing extends back more than half a century to the original musings of Alan Turing about artificial intelligence and John von Neumann's early work on self-replicating cellular automata in the 1940s. Since then, computer scientists have frequently turned to biological processes for inspiration. Indeed, the names of major subfields of computer science—such as artificial neural networks, genetic algorithms, and evolutionary computation—attest to the influence of biological analogies.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.1201003