• DocumentCode
    396160
  • Title

    An evolutionary game approach to energy markets

  • Author

    Pinto, Leontina ; Szczupak, J.

  • Author_Institution
    Engenho Pesquisa, Desenvolvimento e Consultoria Ltda, Rio de Janeiro, Brazil
  • Volume
    3
  • fYear
    2003
  • fDate
    25-28 May 2003
  • Abstract
    This paper presents the application of a new branch of economics theory-Evolutionary Games and Bounded Rationality-to young energy markets. The model is able to correctly represent: all traditional physical system characteristics; agent behavior, including bounded rationality, lack of information and learning capability; market dynamics and evolution, including responses to players´ actions, regulations evolutions and consumer reactions. A case study with a realistic market illustrates the proposed model. More than just an equilibrium solution, the proposed model is able to completely describe the process that led to this point, including agent learning dynamics (with successes and failures) and market responses.
  • Keywords
    economic cybernetics; game theory; genetic algorithms; power markets; agent behavior; agent learning dynamics; bounded rationality; consumer reactions; energy markets; evolutionary game approach; learning capability; market dynamics; market evolution; physical system characteristics; regulations evolutions; Decision making; Emotion recognition; Europe; Game theory; History; Humans; Internet; Mathematical model; Power generation economics; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
  • Print_ISBN
    0-7803-7761-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.2003.1205021
  • Filename
    1205021