• DocumentCode
    1635513
  • Title

    The force model: reducing the complexity by reformulating the problem

  • Author

    Salomon, Ralf

  • Author_Institution
    Artificial Intelligence Lab., Zurich Univ., Switzerland
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1498
  • Lastpage
    1503
  • Abstract
    Most experiments in research on autonomous agents and mobile robots are performed either in simulation or on robots with static physical properties; evolvable hardware is hardly ever used. One of the very rare exceptions is the eyebot on which Lichtensteiger and Eggenberger have evolved simplified insect eyes. Even though substantially improved, the evolutionary models currently applied still lack both scalability and noise-resistance. To tackle these problems, this paper proposes a biologically-inspired force model for this class of real-world applications. The simulation results clearly indicate that this model provides a significant improvement over existing limitations. Furthermore, this paper argues that the force model is of more general utility
  • Keywords
    biocomputing; computational complexity; evolutionary computation; mobile robots; software agents; autonomous agents; biologically-inspired force model; complexity; evolutionary models; eyebot; mobile robots; simulation; static physical properties; Artificial intelligence; Biological system modeling; Evolution (biology); Eyes; Hardware; Insects; Intelligent robots; Mobile robots; Robot sensing systems; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004464
  • Filename
    1004464