• DocumentCode
    2527323
  • Title

    Computer Science as a Lens on the Sciences

  • Author

    Karp, R.M.

  • fYear
    2008
  • fDate
    17-20 June 2008
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Summary form only given. This article trace the growing influence of fundamental ideas from computer science on the nature of research in a number of scientific fields. There is a growing awareness that information processing lies at the heart of the processes studied in fields as diverse as quantum mechanics, statistical physics, nanotechnology, neuroscience, linguistics, economics and sociology. Increasingly, mathematical models in these fields are expressed in algorithmic languages and describe algorithmic processes. The author describe connections between quantum computing and the foundations of quantum mechanics, and between statistical mechanics and phase transitions in computation. The author indicates how the growth of the Web has created new phenomena to be investigated by sociologists and economists, spurring new developments in computational game theory and the study of social networks. The author then focus on computational molecular biology, where the view of living cells as complex information processing systems has become the dominant paradigm.
  • Keywords
    Internet; game theory; natural sciences computing; World Wide Web; algorithmic language process; computational game theory; computational molecular biology; computer science; information processing; living cell; mathematical model; phase transition; quantum computing; quantum mechanics; scientific field; social network; statistical mechanics; Biology computing; Cells (biology); Computer science; Heart; Information processing; Lenses; Nanotechnology; Physics; Quantum computing; Quantum mechanics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 2008. ICDCS '08. The 28th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1063-6927
  • Print_ISBN
    978-0-7695-3172-4
  • Electronic_ISBN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2008.115
  • Filename
    4595861