• DocumentCode
    2779387
  • Title

    Optimal patent design: An agent-based approach

  • Author

    Brabazon, Anthony ; Silva, Arlindo ; O´Neill, Michael

  • Author_Institution
    Complex Adaptive Syst. Lab., Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Although significant attention is given to the study of intellectual property rights (IPR) in economic and other literatures our understanding of the impact of these rights on the process of technological advance is surprisingly incomplete. In this paper we focus on one form of IPR, namely patents. An important and open question faced by policy-makers is what form of patent regime will encourage the fastest rate of technological progress in a society. It is difficult to address this question using historical empirical data as the legal, cultural and technological environments (to name but a few of the factors which could impact on the effect of a given patent regime) do not remain constant over time. Consequently, in this study we novelly employ an agent-based methodology in order to isolate and examine the rate of technological advance that different patent regimes produce. The simulation results indicate that, perhaps counter intuitively, patent policy may not in fact be an effective means of driving societal technological advance.
  • Keywords
    design engineering; multi-agent systems; patents; IPR; agent-based approach; intellectual property rights; optimal patent design; societal technological advance; Adaptation models; Economics; Educational institutions; Patents; Product design; Technological innovation;
  • 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.2012.6252898
  • Filename
    6252898