• DocumentCode
    2780652
  • Title

    On run time libraries and hierarchical symbiosis

  • Author

    Kelly, Stephen ; Lichodzijewski, Peter ; Heywood, Malcolm I.

  • Author_Institution
    Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Run time libraries (RTL) in genetic programming (GP) represent a scenario in which individuals evolved under an earlier independent evolutionary run can be potentially incorporated into a following GP run. To date, schemes for exploiting the RTL metaphor have emphasized syntactic over behavioural approaches. Thus, instructions are added to the later run such that the previous code can be explicitly indexed. In this work we demonstrate how the RTL concept is naturally supported by adopting a symbiotic framework for coevolution. Under the Pinball reinforcement learning task, we demonstrate how the initial RTL can be coevolved within a simpler formulation of the task and then used as the basis for providing solutions to a more difficult target task under the same domain. The resulting solutions are stronger than an RTL as coevolved against the target task alone or symbiosis as evolved without support for RTL.
  • Keywords
    genetic algorithms; learning (artificial intelligence); RTL; genetic programming; hierarchical symbiosis; pinball reinforcement learning task; run time libraries; Context; Function approximation; Indexes; Libraries; Registers; Symbiosis; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6252966
  • Filename
    6252966