• DocumentCode
    3533372
  • Title

    Storage, degradation and recall of agent memory in Serious Games and Simulations

  • Author

    Irvine, David ; Gongora, Mario

  • Author_Institution
    Inst. of Creative Technol., De Montfort Univ., Leicester, UK
  • fYear
    2010
  • fDate
    7-9 July 2010
  • Firstpage
    85
  • Lastpage
    90
  • Abstract
    This paper describes our novel method for creating AI Agents that store and recall memories in a biologically inspired manner. We consider research on biological systems and note the limits on these systems in terms of both storage and recall capacity. We also examine existing technological methods for storing memories in Intelligent Agent systems and discuss their limitations for use in Serious Games and Simulations. We then suggest our own method for storing memories, degrading them over time, arranging and searching them and retrieving them in a realistic fashion.
  • Keywords
    artificial intelligence; brain models; computer games; AI agent memory; biological systems; intelligent agent systems; serious games; Artificial intelligence; Biological system modeling; Biological systems; Computational intelligence; Computational modeling; Degradation; Humans; Information retrieval; Intelligent agent; Samarium; Degrading Memory; Intelligent Agents; Memory Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (IS), 2010 5th IEEE International Conference
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5163-0
  • Electronic_ISBN
    978-1-4244-5164-7
  • Type

    conf

  • DOI
    10.1109/IS.2010.5548405
  • Filename
    5548405