• DocumentCode
    2821839
  • Title

    Roles of real-world properties in the Baldwin effect

  • Author

    Watanabe, D. ; Ito, K.

  • Author_Institution
    Hosei Univ., Koganei, Japan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Lamarck formed the hypothesis Inheritance of acquired characteristics, which states that offspring inherit characters acquired by their parents. However, this hypothesis has now been rejected in the field of genetics. Baldwin offered an explanation for observations of inheritance of acquired characters, despite the fact that they are not inherited; an idea referred to as the Baldwin effect. To verify the Baldwin effect, many studies have been conducted and various numerical simulations have been demonstrated. However, in conventional simulations, the real world is modeled as a simple environment and various properties of the real world are neglected. As a result, effects of universal properties of the real world in evolution have not been discussed. In this study, we considered that universal properties of the real world play important roles in the Baldwin effect. We used the task of escaping from a hunter, and evolved a fugitive agent in a simulated world in which physical properties are used. We investigated the roles of the real-world properties, through conducted simulations, revealed that a fugitive agent was able to reduce learning time by using the real-world properties, thus supporting the occurrence of the Baldwin effect.
  • Keywords
    evolution (biological); learning (artificial intelligence); predator-prey systems; Baldwin effect; acquired characteristics inheritance; escaping task; evolution; fugitive agent; genetics; hunter; learning time reduction; numerical simulation; offspring; real-world properties; Animals; Biological system modeling; Encoding; Force; Mathematical model; Robot sensing systems; Inheritance of acquired characteristics; the Baldwin effect; the real-world properties;
  • 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.2012.6256525
  • Filename
    6256525