rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Evolution as Computation
    sub title: DIMACS Workshop, Princeton, January 1999
  name:
    name part: Landweber, Laura F.
    role:
      role term: creator
  name:
    name part: Winfree, Erik.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (XV, 332 pages)
  abstract: The study of the genetic basis for evolution has flourished in this century, as well as our understanding of the evolvability and programmability of biological systems. Genetic algorithms meanwhile grew out of the realization that a computer program could use the biologically-inspired processes of mutation, recombination, and selection to solve hard optimization problems. Genetic and evolutionary programming provide further approaches to a wide variety of computational problems. A synthesis of these experiences reveals fundamental insights into both the computational nature of biological evolution and processes of importance to computer science. Topics include biological models of nucleic acid information processing and genome evolution; molecules, cells, and metabolic circuits that compute logical relationships; the origin and evolution of the genetic code; and the interface with genetic algorithms, genetic and evolutionary programming. This research combines theory and experiments to understand the computations that take place in cells and the combinatorial processes that drive evolution at the molecular level.
  note: edited by Laura F. Landweber, Erik Winfree.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Chemistry
  subject:
    topic: Computer software
  subject:
    topic: Artificial intelligence
  subject:
    topic: Optical pattern recognition
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Chemistry
  subject:
    topic: Computer science
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Computer software
  subject:
    topic: Optical pattern recognition
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Natural computing series
  identifier: 9783642556067 (electronic bk.)
  identifier: 364255606X (electronic bk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: I9W
    record creation date: 121227
    record change date: 20260420202210.7
    record identifier: in00003554377
    language of cataloging:
      language term: eng