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Genetic algorithms and inflationary economies

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306 cited

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2018Agent-Based Macroeconomics ✶ ✶The authors are grateful for helpful comments and suggestions from Tiziana Assenza, Jean-Philippe Bouchaud, Silvano Cincotti, Giovanni Dosi, Giorgio Fagiolo, Edoardo Gaffeo, Mauro Gallegati, Gavin Goy, Philipp Harting, Cars Hommes, Sander van der Hoog, Peter Howitt, Blake LeBaron, Marco Raberto, Andrea Roventini, Alberto Russo, and Isabelle Salle.117 cited
1999Using Genetic Algorithms to Model the Evolution of Heterogeneous Beliefs95 cited
1999Chapter 7 Learning dynamics91 cited
1998On economic applications of the genetic algorithm: a model of the cobweb type90 cited
1998A model of learning and emulation with artificial adaptive agents89 cited
2012Social Learning and Monetary Policy Rules82 cited
2001CONVERGENCE IN MONETARY INFLATION MODELS WITH HETEROGENEOUS LEARNING RULES82 cited
1997The Transition from Stagnation to Growth: An Adaptive Learning Approach79 cited
2000Statistical properties of genetic learning in a model of exchange rate74 cited
1999On the convergence of genetic learning in a double auction market72 cited
2001Structural breaks, ARIMA model and Finnish inflation forecasts55 cited
2015Simple Forecasting Heuristics that Make Us Smart: Evidence from Different Market Experiments53 cited
1997Treasury Auctions: What Do the Recent Models and Results Tell Us?41 cited
2006Forecasting tourists’ characteristics by a genetic algorithm with a transition matrix37 cited
1999Using genetic algorithms to assess the impact of pricing activity timing15 cited
2018How transparent about its inflation target should a central bank be?15 cited