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  1.  37
    Complexity Modelling in Economics: the State of the Art.Bruna Bruno, Marisa Faggini & Anna Parziale - 2016 - Economic Thought 5 (2):29.
    The economic crisis happening across the world over the last few years describes a range of interdependencies and interactions,and has highlighted the fundamentalf laws of neoclassical economic theory: its unedifying focus on prediction and, above all, its inability to explain how the economy really works. As such, it is increasingly recognised that economic phenomena cannot be exclusively investigated as being derived from deterministic, predictable and mechanistic dynamics. Instead, a new approach is required by which history-dependence, organic and ever-evolving processes are (...)
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  2.  46
    Decision Theory and Choices: A Complexity Approach.Marisa Faggini, Concetto Paolo Vinci, Antonio Abatemarco, Rossella Aiello, F. T. Arecchi, Lucio Biggiero, Giovanna Bimonte, Sergio Bruno, Carl Chiarella, Maria Pia Di Gregorio, Giacomo Di Tollo, Simone Giansante, Jaime Gil Aluja, A. I͡U Khrennikov, Marianna Lyra, Riccardo Meucci, Guglielmo Monaco, Giancarlo Nota, Serena Sordi, Pietro Terna, Kumaraswamy Velupillai & Alessandro Vercelli (eds.) - 2010 - Springer Verlag Italia.
    The New Economic Windows Series, derived from Massimo Salzano's ideas and work, incorporates material from textbooks, monographs and conference proceedings that deals with both the theoretical and applied aspects of various sub-disciplines ...
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    More than 20 years of chaos in economics.Marisa Faggini & Anna Parziale - 2016 - Mind and Society 15 (1):53-69.
    Starting for the good results reached in physics researchers in economics and finance have been interested in testing nonlinear dependence and chaos in economic models and data. A wide variety of reasons for this interest have been suggested, including an attempt to improve the forecasting accuracy of linear time series models and to better explain the dynamics of the underlying variables of interest using a richer class of models than that permitted by limiting the set to the linear case. But (...)
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