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
Link To Document :
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