Using Symbolic Regression to Infer Strategies from Experimental Data
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- Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011 Elsevier.
- Jim Warnick, 1999. "I Can't Think With All This Noise: Inferring Strategies Using Symbolic Regression," Working Papers 99-08-057, Santa Fe Institute.
- Daniel Houser & Michael Keane & Kevin McCabe, 2004.
"Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm,"
Econometric Society, vol. 72(3), pages 781-822, May.
- Daniel Houser & Michael Keane & Kevin McCabe, 2002. "Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm," Experimental 0211001, University Library of Munich, Germany.
- Engle-Warnick, Jim, 2003.
"Inferring strategies from observed actions: a nonparametric, binary tree classification approach,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 27(11-12), pages 2151-2170, September.
- Jim Engle-Warnick, 2000. "Inferring Strategies from Observed Actions: A Nonparametric Binary Tree Classification Approach," Econometrics 0004002, University Library of Munich, Germany, revised 02 Aug 2001.
- Jim Engle-Warnick, 2001. "Inferring Strategies from Observed Actions: A Nonparametric, Binary Tree Classification Approach," Economics Papers 2001-W14, Economics Group, Nuffield College, University of Oxford.
- Jim Engle-Warnick & Bradley Ruffle, 2006. "The Strategies Behind Their Actions: A Method To Infer Repeated-Game Strategies And An Application To Buyer Behavior," Departmental Working Papers 2005-04, McGill University, Department of Economics.
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NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-1999-07-12 (All new papers)
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