Biology: See It Again -- for the First Time
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{luke:1998:firsttime,
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author = "Sean Luke and Shugo Hamahashi and Koji Kyoda and
Hiroki Ueda",
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title = "Biology: See It Again -- for the First Time",
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journal = "IEEE Intelligent Systems",
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year = "1998",
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volume = "13",
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number = "5",
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pages = "6--8",
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month = sep # "/" # oct,
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keywords = "genetic algorithms, genetic programming, biological
modelling, DNA",
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ISSN = "1094-7167",
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URL = "http://www.cs.gmu.edu/~sean/papers/biology.pdf",
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URL = "http://www.cs.gmu.edu/~sean/papers/biology.ps.gz",
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URL = "https://ieeexplore.ieee.org/document/722341",
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DOI = "doi:10.1109/5254.722341",
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size = "3 pages",
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abstract = "Computer science owes a huge debt to biological
systems. The field itself came about largely as an
attempt to understand and replicate the function and
abilities of the brain, a complex biological creation.
From this early lineage has sprung many subfields
derived largely from biological metaphors: computer
vision, neural networks, evolutionary computation,
robotics, multi-agent studies, and much of artificial
intelligence. In some areas, the computer has bested
its biological counterparts in efficiency and
simplicity. But for many domains, even after decades of
hard work, the biological {"}real thing{"} is still
superior to the artificial algorithms inspired by it.",
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notes = "Invited Article. Argues for a revisitation of the
biological roots behind artificial intelligence and
evolutionary computation",
- }
Genetic Programming entries for
Sean Luke
Shugo Hamahashi
Koji Kyoda
Hiroki Ueda
Citations