IDEAS home Printed from https://ideas.repec.org/r/pen/papers/18-009.html

Predicting and Understanding Initial Play

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Shoshan, Vered & Hazan, Tamir & Plonsky, Ori, 2023. "BEAST-Net: Learning novel behavioral insights using a neural network adaptation of a behavioral model," OSF Preprints kaeny, Center for Open Science.
  2. Terje Lensberg & Klaus Reiner Schenk-Hoppe, 2019. "Evolutionary Stable Solution Concepts for the Initial Play," Economics Discussion Paper Series 1916, Economics, The University of Manchester.
  3. Noga Alon & Kirill Rudov & Leeat Yariv, 2021. "Dominance Solvability in Random Games," Papers 2105.10743, arXiv.org.
  4. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2021. "Cold play: Learning across bimatrix games," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 419-441.
  5. Krishna Neupane & Igor Griva, 2025. "An extreme Gradient Boosting (XGBoost) Trees approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions," Papers 2511.08306, arXiv.org.
  6. Benjamin Davies & Anirudh Sankar, 2025. "The value of conceptual knowledge," Papers 2509.09170, arXiv.org, revised Feb 2026.
  7. Annie Liang, 2025. "Using Machine Learning to Generate, Clarify, and Improve Economic Models," Papers 2508.19136, arXiv.org.
  8. Jian-Qiao Zhu & Joshua C. Peterson & Benjamin Enke & Thomas L. Griffiths, 2024. "Capturing the Complexity of Human Strategic Decision-Making with Machine Learning," Papers 2408.07865, arXiv.org.
  9. Külpmann, Philipp & Kuzmics, Christoph, 2022. "Comparing theories of one-shot play out of treatment," Journal of Economic Theory, Elsevier, vol. 205(C).
  10. Nir Chemaya & Daniel Martin, 2024. "Perceptions and detection of AI use in manuscript preparation for academic journals," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-16, July.
  11. Paul Feldman & John Rehbeck, 2022. "Revealing a preference for mixtures: An experimental study of risk," Quantitative Economics, Econometric Society, vol. 13(2), pages 761-786, May.
  12. Daniele Condorelli & Massimiliano Furlan, 2024. "Deep Learning Across Games," Papers 2409.15197, arXiv.org, revised May 2025.
  13. Jian-Qiao Zhu & Joshua C. Peterson & Benjamin Enke & Thomas L. Griffiths, 2024. "Capturing the Complexity of Human Strategic Decision-Making with Machine Learning," CESifo Working Paper Series 11296, CESifo.
  14. Noga Alon & Kirill Rudov & Leeat Yariv, 2021. "Dominance Solvability in Random Games," Working Papers 2021-84, Princeton University. Economics Department..
  15. Drew Fudenberg & Jon Kleinberg & Annie Liang & Sendhil Mullainathan, 2019. "Measuring the Completeness of Theories," Papers 1910.07022, arXiv.org.
  16. Ke, Shaowei & Zhao, Chen, 2024. "From local utility to neural networks," Journal of Mathematical Economics, Elsevier, vol. 113(C).
  17. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
  18. Caplin, Andrew & Martin, Daniel & Marx, Philip, 2025. "Modeling machine learning: A cognitive economic approach," Journal of Economic Theory, Elsevier, vol. 224(C).
  19. Gorny, Paul M. & Groos, Eva & Strobel, Christina, 2024. "Do Personalized AI Predictions Change Subsequent Decision-Outcomes? The Impact of Human Oversight," MPRA Paper 121065, University Library of Munich, Germany.
  20. Isaiah Andrews & Drew Fudenberg & Lihua Lei & Annie Liang & Chaofeng Wu, 2022. "The Transfer Performance of Economic Models," Papers 2202.04796, arXiv.org, revised Mar 2025.
  21. Christoph Kuzmics & Daniel Rodenburger, 2020. "A case of evolutionarily stable attainable equilibrium in the laboratory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(3), pages 685-721, October.
  22. Shu Huang & Russell Golman, 2025. "The collective wisdom of behavioral game theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(1), pages 341-356, February.
  23. Drew Fudenberg & Wayne Gao & Annie Liang, 2020. "How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories," Papers 2007.09213, arXiv.org, revised Aug 2023.
  24. repec:osf:osfxxx:kaeny_v1 is not listed on IDEAS
  25. Dmitri Bershadskyy & Laslo Dinges & Marc-André Fiedler & Ayoub Al-Hamadi & Nina Ostermaier & Joachim Weimann, 2024. "Experimental economics for machine learning—a methodological contribution on lie detection," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-19, December.
  26. Hsieh, Sung-Lin & Ke, Shaowei & Wang, Zhaoran & Zhao, Chen, 2025. "Logit neural-network utility," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
  27. Fulin Guo, 2023. "Experience-weighted attraction learning in network coordination games," Papers 2310.18835, arXiv.org.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.