Neural networks for encoding and adapting in dynamic economies
In: Handbook of Computational Economics
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- Spiliopoulos, Leonidas, 2009. "Neural networks as a learning paradigm for general normal form games," MPRA Paper 16765, University Library of Munich, Germany.
- Fioretti, Guido, 2006.
"Recognising investment opportunities at the onset of recoveries,"
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Elsevier, vol. 60(2), pages 69-84, June.
- Guido Fioretti, "undated". "Recognizing Investment Opportunities at the Onset of Recoveries," Modeling, Computing, and Mastering Complexity 2003 07, Society for Computational Economics.
- Guido Fioretti, 2002. "Recognizing Investment Opportunities at the Onset of Recoveries," Macroeconomics 0207008, EconWPA.
- Julien, Ludovic A., 2003. "Chômage d’équilibre, équilibres multiples et défauts de coordination," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(4), pages 523-562, Décembre.
- Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
- Sgroi, Daniel & Zizzo, Daniel John, 2009. "Learning to play 3×3 games: Neural networks as bounded-rational players," Journal of Economic Behavior & Organization, Elsevier, vol. 69(1), pages 27-38, January.
More about this item
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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