Biology: See It Again -- for the First Time

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{luke:1998:firsttime,

• author = "Sean Luke and Shugo Hamahashi and Koji Kyoda and Hiroki Ueda",
• title = "Biology: See It Again -- for the First Time",
• journal = "IEEE Intelligent Systems",
• year = "1998",
• volume = "13",
• number = "5",
• pages = "6--8",
• month = sep # "/" # oct,
• keywords = "genetic algorithms, genetic programming, biological modelling, DNA",
• ISSN = "1094-7167",
• URL = "http://www.cs.gmu.edu/~sean/papers/biology.pdf",
• URL = "http://www.cs.gmu.edu/~sean/papers/biology.ps.gz",
• URL = "https://ieeexplore.ieee.org/document/722341",
• DOI = "doi:10.1109/5254.722341",
• size = "3 pages",
• 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.",
• 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