• DocumentCode
    2805578
  • Title

    A New Approach for an Artificial Evolving System

  • Author

    Pinninghoff, M. Angélica ; Contreras, Ricardo ; Polymeris, Andreas ; Osses, Esteban

  • Author_Institution
    Universidad de Concepcion, Chile
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    42
  • Lastpage
    52
  • Abstract
    We have built an adaptive system (AS) that is able to evolve and improve its answering ability to all reiterative questions from an artificial environment. Indeed, we have created a basic artificial system that is able to do what is usually understood as a natural system¿s behavior. In this work, rather than using logic, we encourage coherence, because it is not logic correctness but harmony between the system and its environment the primary goal of our work. As a central part of the system, we have designed and implemented an Existential Machine and experimental results show that evolution is feasible for restricted environments. In this article, the core idea supporting the system is shown, a rapid view over the existential machine is presented, and a set of results pointing to future applications is discussed.
  • Keywords
    Adaptive systems; Artificial intelligence; Biological systems; Evolutionary computation; Filters; Genetic algorithms; Genetic programming; Humans; Logic; Machine intelligence; Evolving system; Occam¿s razor principle.; answering capability; consistency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2006. MICAI '06. Fifth Mexican International Conference on
  • Conference_Location
    Mexico City, Mexico
  • Print_ISBN
    0-7695-2722-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2006.5
  • Filename
    4022137