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A comparison model of reinforcement-learning and win-stay-lose-shift decision-making processes: a tribute to W. K. Estes

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Publication:396218
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DOI10.1016/j.jmp.2013.10.001zbMath1309.91124OpenAlexW2122842636WikidataQ42870855 ScholiaQ42870855MaRDI QIDQ396218

W. Todd Maddox, Darrell A. Worthy

Publication date: 8 August 2014

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2013.10.001


zbMATH Keywords

mathematical modelingreinforcement learningdecision-makingdual-processwin-stay-lose-shift


Mathematics Subject Classification ID

Decision theory (91B06) Memory and learning in psychology (91E40)


Related Items (4)

A tutorial on bridge sampling ⋮ Optimal promotion strategies of online marketplaces ⋮ How signaling conventions are established ⋮ Development of a novel computational model for the balloon analogue risk task: the exponential-weight mean-variance model



Cites Work

  • Theory of learning with constant, variable, or contingent probabilities of reinforcement
  • A Bayesian analysis of human decision-making on bandit problems
  • Learning in noise: dynamic decision-making in a variable environment
  • Unnamed Item




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