• DocumentCode
    2951141
  • Title

    Artificial Organic Networks

  • Author

    Ponce, Hiram ; Ponce, Pedro

  • Author_Institution
    Grad. Sch. in Eng. & Archit., Tecnol. de Monterrey, Mexico City, Mexico
  • fYear
    2011
  • fDate
    15-18 Nov. 2011
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    This paper introduces a novel artificial intelligence technique bio-inspired on organic chemistry: Artificial Organic Networks (AON). In fact, organic compounds present several characteristics as stability, well-formed molecules, and easily-spanning. Thus, these compounds can be taken as inspiration in which a primitive structure assures stability in itself, and then some of these structures might be mixed in order to form more complex structures in a natural and easy way, also assuring stability. In this context, there exists the opportunity to investigate and to create new organic structures, not only based on primary elements. Thus, organic chemistry knowledge and mathematical formalization are applied into this new algorithm. Moreover, Artificial Hydrocarbon Networks (AHN), particular artificial organic compounds, are also defined and implemented.
  • Keywords
    artificial intelligence; chemistry computing; network theory (graphs); organic compounds; AHN; AON; artificial hydrocarbon networks; artificial intelligence technique; artificial organic compounds; artificial organic networks; complex structures; easily-spanning; mathematical formalization; organic chemistry knowledge; organic structures; stability; well-formed molecules; Atomic measurements; Carbon; Hydrocarbons; Organic compounds; Artificial intelligence; hydrocarbons; organic compounds; organic networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE
  • Conference_Location
    Cuernavaca, Morelos
  • Print_ISBN
    978-1-4577-1879-3
  • Type

    conf

  • DOI
    10.1109/CERMA.2011.12
  • Filename
    6125798