• DocumentCode
    2365521
  • Title

    EVOGENTS: Evolving Agents

  • Author

    Hermano, Michael ; Chu, Shirley B. ; Pua, Daniel ; Tan, Stephen ; Victor, Andrei

  • Author_Institution
    Coll. of Comput. Studies, De La Salle Univ., Manila, Philippines
  • fYear
    2009
  • fDate
    25-27 Aug. 2009
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    Evolving Agents or EVOGENTS for short is an undergraduate research thesis that demonstrates an alternative approach of applying evolutionary concepts on artificial intelligence. EVOGENTS are agents that live in a virtual world and their goal is to be able to survive. These agents are programmed with artificial intelligence and the ability to adapt in order for them to be able to handle unanticipated situations. This paper discusses the EVOGENTS system, the algorithms used, and presents the experiment results on the EVOGENTS ability to adapt on different environments.
  • Keywords
    artificial intelligence; software agents; EVOGENTS system; artificial intelligence; evolving agents; virtual world; Animals; Artificial intelligence; Bioinformatics; Educational institutions; Evolutionary computation; Genetic algorithms; Genomics; Machine learning; Machine learning algorithms; Safety; Artificial Life; Evolutionary Algorithms; Genetic Algorithms; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5209-5
  • Electronic_ISBN
    978-0-7695-3769-6
  • Type

    conf

  • DOI
    10.1109/NCM.2009.57
  • Filename
    5331709
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2365521