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Mael Lebreton

Personal Details

First Name:Mael
Middle Name:
Last Name:Lebreton
Suffix:
RePEc Short-ID:ple1200
[This author has chosen not to make the email address public]
https://sites.google.com/site/maellebreton/home

Affiliation

Paris School of Economics

Paris, France
http://www.parisschoolofeconomics.eu/
RePEc:edi:eeparfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Silvio Maltagliati & Philippe Sarrazin & Layan Fessler & Maël Lebreton & Boris Cheval, 2024. "Why people should run after positive affective experiences, not health benefits," PSE-Ecole d'économie de Paris (Postprint) halshs-04409256, HAL.
  2. Joaquina Couto & Maël Lebreton & Leendert van Maanen, 2024. "Specificity and sensitivity of the fixed-point test for binary mixture distributions," Post-Print halshs-04409172, HAL.
  3. Silvio Maltagliati & Philippe Sarrazin & Layan Fessler & Maël Lebreton & Boris Cheval, 2024. "Why people should run after positive affective experiences instead of health benefits," Post-Print halshs-04630339, HAL.
  4. Silvio Maltagliati & Philippe Sarrazin & Layan Fessler & Maël Lebreton & Boris Cheval, 2024. "Why people should run after positive affective experiences, not health benefits," Post-Print halshs-04409256, HAL.
  5. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Post-Print halshs-04409145, HAL.
  6. Engelmann, Jan & LeBreton, Maël & Salem-Garcia, Nahuel & Schwardmann, Peter & van der Weele, Joël, 2022. "Anticipatory Anxiety and Wishful Thinking," CEPR Discussion Papers 17665, C.E.P.R. Discussion Papers.
  7. Basile Garcia & Maël Lebreton & Sacha Bourgeois-Gironde & Stefano Palminteri, 2022. "The impassable gap between experiential and symbolic values," Post-Print halshs-04409214, HAL.
  8. Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02958766, HAL.
    • Dobromir Rahnev & Kobe Desender & Alan L. F. Lee & William T. Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Y. Atlas & Fuat Balcı & Ji Won Bang & Indrit Bègue & Damian P. Bir, 2020. "The Confidence Database," Nature Human Behaviour, Nature, vol. 4(3), pages 317-325, March.
    • Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," PSE-Ecole d'économie de Paris (Postprint) hal-02958766, HAL.
    • Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," Post-Print hal-02958766, HAL.
  9. Richard Karlsson Linnér & Pietro Biroli & Edward Kong & S. Fleur W. Meddens & Robee Wedow & Mark Alan Fontana & Maël Lebreton & Abdel Abdellaoui & Anke R. Hammerschlag & Michel G. Nivard & Aysu Okba, 2018. "Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences," Working Papers 2018-087, Human Capital and Economic Opportunity Working Group.

Articles

  1. Jan B. Engelmann & Maël Lebreton & Nahuel A. Salem-Garcia & Peter Schwardmann & Joël J. van der Weele, 2024. "Anticipatory Anxiety and Wishful Thinking," American Economic Review, American Economic Association, vol. 114(4), pages 926-960, April.
  2. Michael Rojek-Giffin & Maël Lebreton & Jean Daunizeau & Andrea Fariña & Jörg Gross & Carsten K. W. De Dreu, 2023. "Learning rules of engagement for social exchange within and between groups," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(19), pages 2218443120-, May.
  3. Basile Garcia & Maël Lebreton & Sacha Bourgeois-Gironde & Stefano Palminteri, 2023. "Experiential values are underweighted in decisions involving symbolic options," Nature Human Behaviour, Nature, vol. 7(4), pages 611-626, April.
  4. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan B. Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  5. Joaquina Couto & Leendert van Maanen & Maël Lebreton, 2020. "Investigating the origin and consequences of endogenous default options in repeated economic choices," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
  6. Dobromir Rahnev & Kobe Desender & Alan L. F. Lee & William T. Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Y. Atlas & Fuat Balcı & Ji Won Bang & Indrit Bègue & Damian P. Bir, 2020. "The Confidence Database," Nature Human Behaviour, Nature, vol. 4(3), pages 317-325, March.
  7. Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
  8. Maël Lebreton & Sophie Bavard & Jean Daunizeau & Stefano Palminteri, 2019. "Assessing inter-individual differences with task-related functional neuroimaging," Nature Human Behaviour, Nature, vol. 3(9), pages 897-905, September.
  9. Sophie Bavard & Maël Lebreton & Mehdi Khamassi & Giorgio Coricelli & Stefano Palminteri, 2018. "Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
  10. Germain Lefebvre & Maël Lebreton & Florent Meyniel & Sacha Bourgeois-Gironde & Stefano Palminteri, 2017. "Behavioural and neural characterization of optimistic reinforcement learning," Nature Human Behaviour, Nature, vol. 1(4), pages 1-9, April.
  11. Leendert van Maanen & Joaquina Couto & Mael Lebreton, 2016. "Three Boundary Conditions for Computing the Fixed-Point Property in Binary Mixture Data," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.
  12. Liane Schmidt & Maël Lebreton & Marie-Laure Cléry-Melin & Jean Daunizeau & Mathias Pessiglione, 2012. "Neural Mechanisms Underlying Motivation of Mental Versus Physical Effort," PLOS Biology, Public Library of Science, vol. 10(2), pages 1-13, February.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Jan Engelmann & Maël Lebreton & Peter Schwardmann & Joël van der Weele & Li-Ang Chang, 2019. "Anticipatory Anxiety and Wishful Thinking," Tinbergen Institute Discussion Papers 19-042/I, Tinbergen Institute.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Policy responses > Behavioral

Working papers

  1. Engelmann, Jan & LeBreton, Maël & Salem-Garcia, Nahuel & Schwardmann, Peter & van der Weele, Joël, 2022. "Anticipatory Anxiety and Wishful Thinking," CEPR Discussion Papers 17665, C.E.P.R. Discussion Papers.

    Cited by:

    1. Alberto Prati & Charlotte Saucet, 2024. "The causal effect of a health treatment on beliefs, stated preferences and memories," Economics Series Working Papers 1031, University of Oxford, Department of Economics.
    2. Le Yaouanq, Yves, 2023. "A model of voting with motivated beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 394-408.
    3. Karlan, Dean & Lowe, Matt & Osei, Robert & Osei-Akoto, Isaac & Roth, Benjamin N. & Udry, Christopher, 2022. "Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana," CEPR Discussion Papers 17510, C.E.P.R. Discussion Papers.
    4. Johannes Schünemann & Holger Strulik & Timo Trimborn, 2020. "Anticipation of Deteriorating Health and Information Avoidance," Economics Working Papers 2020-14, Department of Economics and Business Economics, Aarhus University.
    5. Grunewald, Andreas & Klockmann, Victor & von Schenk, Alicia & von Siemens, Ferdinand, 2024. "Are biases contagious? The influence of communication on motivated beliefs," W.E.P. - Würzburg Economic Papers 109, University of Würzburg, Department of Economics.
    6. Islam, Marco, 2021. "Motivated Risk Assessments," Working Papers 2021:12, Lund University, Department of Economics, revised 26 Jul 2022.
    7. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2020. "Do People Value More Informative News?," CAGE Online Working Paper Series 493, Competitive Advantage in the Global Economy (CAGE).
    8. Luc Bridet & Peter Schwardmann, 2020. "Selling Dreams: Endogenous Optimism in Lending Markets," CESifo Working Paper Series 8271, CESifo.
    9. Dickinson, David L., 2024. "Deliberation, mood response, and the confirmation bias in the religious belief domain," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    10. Thomas Neuber, 2021. "Egocentric Norm Adoption," CRC TR 224 Discussion Paper Series crctr224_2021_323, University of Bonn and University of Mannheim, Germany.
    11. Roberta Dessi & Junjie Ren & Xiaojian Zhao, 2023. "Shame, Guilt, and Motivated Self-Confidence," Monash Economics Working Papers 2023-24, Monash University, Department of Economics.
    12. Victor Augias & Daniel M. A. Barreto, 2020. "Persuading a Wishful Thinker," Papers 2011.13846, arXiv.org, revised Nov 2023.
    13. Bolte, Lukas & Fan, Tony Q., 2024. "Motivated mislearning: The case of correlation neglect," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 647-663.
    14. Alexander Coutts & Leonie Gerhards & Zahra Murad, 2024. "What to Blame? Self-Serving Attribution Bias with Multi-Dimensional Uncertainty," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1835-1874.

  2. Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02958766, HAL.
    • Dobromir Rahnev & Kobe Desender & Alan L. F. Lee & William T. Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Y. Atlas & Fuat Balcı & Ji Won Bang & Indrit Bègue & Damian P. Bir, 2020. "The Confidence Database," Nature Human Behaviour, Nature, vol. 4(3), pages 317-325, March.
    • Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," PSE-Ecole d'économie de Paris (Postprint) hal-02958766, HAL.
    • Dobromir Rahnev & Kobe Desender & Alan Lee & William Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Atlas & Fuat Balci & Ji Won Bang & Indrit Bègue & Damian Birney & Timothy B, 2020. "The Confidence Database," Post-Print hal-02958766, HAL.

    Cited by:

    1. Belloc, Filippo, 2021. "Industrial actions and firing regimes: How deregulating worker “Exit” reshapes worker “Voice”," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 251-264.
    2. Hertel, Johanna & Igan, Deniz & Smith, John, 2023. "On the dynamics of the responses in Frydman and Jin (2022): Nullius in verba," MPRA Paper 117788, University Library of Munich, Germany.

  3. Richard Karlsson Linnér & Pietro Biroli & Edward Kong & S. Fleur W. Meddens & Robee Wedow & Mark Alan Fontana & Maël Lebreton & Abdel Abdellaoui & Anke R. Hammerschlag & Michel G. Nivard & Aysu Okba, 2018. "Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences," Working Papers 2018-087, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    2. Andrew E. Clark & Conchita D'Ambrosio & Simone Ghislandi & Anthony Lepinteur & Giorgia Menta, 2021. "Maternal depression and child human capital: a genetic instrumental-variable approach," CEP Discussion Papers dp1749, Centre for Economic Performance, LSE.
    3. John List & Ragan Petrie & Anya Samek, 2021. "How Experiments with Children Inform Economics," Artefactual Field Experiments 00729, The Field Experiments Website.
    4. Silvia Angerer & E. Glenn Dutcher & Daniela Glätzle-Rützler & Philipp Lergetporer & Matthias Sutter, 2021. "The Formation of Risk Preferences through Small-Scale Events," CESifo Working Paper Series 9270, CESifo.
    5. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2020. "Genetic Risks, Adolescent Health and Schooling Attainment," PIER Working Paper Archive 20-024, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Jason M. Fletcher & Qiongshi Lu, 2021. "Health policy and genetic endowments: Understanding sources of response to Minimum Legal Drinking Age laws," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 194-203, January.
    7. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    8. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    9. Nicola Barban & Elisabetta De Cao & Marco Francesconi, 2021. "Gene-Environment Effects on Female Fertility," CESifo Working Paper Series 9337, CESifo.
    10. Chowdhury, Shyamal & Sutter, Matthias & Zimmermann, Klaus F., 2020. "Economic preferences across generations and family clusters: A large-scale experiment," GLO Discussion Paper Series 592, Global Labor Organization (GLO).
    11. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    12. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Score and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.

Articles

  1. Jan B. Engelmann & Maël Lebreton & Nahuel A. Salem-Garcia & Peter Schwardmann & Joël J. van der Weele, 2024. "Anticipatory Anxiety and Wishful Thinking," American Economic Review, American Economic Association, vol. 114(4), pages 926-960, April.
    See citations under working paper version above.
  2. Dobromir Rahnev & Kobe Desender & Alan L. F. Lee & William T. Adler & David Aguilar-Lleyda & Başak Akdoğan & Polina Arbuzova & Lauren Y. Atlas & Fuat Balcı & Ji Won Bang & Indrit Bègue & Damian P. Bir, 2020. "The Confidence Database," Nature Human Behaviour, Nature, vol. 4(3), pages 317-325, March.
    See citations under working paper version above.
  3. Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.

    Cited by:

    1. Minhua Shao & Congcong Xie & Lijun Sun & Lijuan Jiang, 2019. "Optimal Layout of Static Guidance Information in Comprehensive Transportation Hubs Based on Passenger Pathfinding Behavior," Sustainability, MDPI, vol. 11(13), pages 1-21, July.

  4. Maël Lebreton & Sophie Bavard & Jean Daunizeau & Stefano Palminteri, 2019. "Assessing inter-individual differences with task-related functional neuroimaging," Nature Human Behaviour, Nature, vol. 3(9), pages 897-905, September.

    Cited by:

    1. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Post-Print halshs-04409145, HAL.
    2. Karima Chakroun & Antonius Wiehler & Ben Wagner & David Mathar & Florian Ganzer & Thilo Eimeren & Tobias Sommer & Jan Peters, 2023. "Dopamine regulates decision thresholds in human reinforcement learning in males," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

  5. Sophie Bavard & Maël Lebreton & Mehdi Khamassi & Giorgio Coricelli & Stefano Palminteri, 2018. "Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences," Nature Communications, Nature, vol. 9(1), pages 1-12, December.

    Cited by:

    1. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Modelling crypto markets by multi-agent reinforcement learning," Papers 2402.10803, arXiv.org.
    2. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Post-Print halshs-04409145, HAL.
    3. Maël Lebreton & Karin Bacily & Stefano Palminteri & Jan B Engelmann, 2019. "Contextual influence on confidence judgments in human reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
    4. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).

  6. Germain Lefebvre & Maël Lebreton & Florent Meyniel & Sacha Bourgeois-Gironde & Stefano Palminteri, 2017. "Behavioural and neural characterization of optimistic reinforcement learning," Nature Human Behaviour, Nature, vol. 1(4), pages 1-9, April.

    Cited by:

    1. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    2. Riccardo Bruni & Alessandro Gioffré & Maria Marino, 2022. ""In-group bias in preferences for redistribution: a survey experiment in Italy"," IREA Working Papers 202223, University of Barcelona, Research Institute of Applied Economics, revised Nov 2023.
    3. R Becket Ebitz & Brianna J Sleezer & Hank P Jedema & Charles W Bradberry & Benjamin Y Hayden, 2019. "Tonic exploration governs both flexibility and lapses," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-37, November.
    4. Tapia Cortez, Carlos A. & Hitch, Michael & Sammut, Claude & Coulton, Jeff & Shishko, Robert & Saydam, Serkan, 2018. "Determining the embedding parameters governing long-term dynamics of copper prices," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 186-197.
    5. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," NBER Working Papers 25200, National Bureau of Economic Research, Inc.
    6. Nura Sidarus & Stefano Palminteri & Valérian Chambon, 2019. "Cost-benefit trade-offs in decision-making and learning," PLOS Computational Biology, Public Library of Science, vol. 15(9), pages 1-28, September.
    7. Stefano Palminteri & Germain Lefebvre & Emma J Kilford & Sarah-Jayne Blakemore, 2017. "Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-22, August.
    8. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    9. Hu Sun & Yun Wang, 2019. "Do On-lookers See Most of the Game? Evaluating Job-seekers' Competitiveness of Oneself versus of Others in a Labor Market Experiment," Working Papers 2019-07-11, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Modelling crypto markets by multi-agent reinforcement learning," Papers 2402.10803, arXiv.org.
    11. Xinyi Li & Yinchuan Li & Yuancheng Zhan & Xiao-Yang Liu, 2019. "Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation," Papers 1907.01503, arXiv.org.
    12. Chih-Chung Ting & Nahuel Salem-Garcia & Stefano Palminteri & Jan Engelmann & Maël Lebreton, 2023. "Neural and computational underpinnings of biased confidence in human reinforcement learning," Post-Print halshs-04409145, HAL.
    13. Johann Lussange & Stefano Vrizzi & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2023. "Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1523-1544, April.
    14. Toby Wise & Jochen Michely & Peter Dayan & Raymond J Dolan, 2019. "A computational account of threat-related attentional bias," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-21, October.
    15. Johann Lussange & Boris Gutkin, 2023. "Order book regulatory impact on stock market quality: a multi-agent reinforcement learning perspective," Papers 2302.04184, arXiv.org.
    16. Simon Ciranka & Juan Linde-Domingo & Ivan Padezhki & Clara Wicharz & Charley M. Wu & Bernhard Spitzer, 2022. "Asymmetric reinforcement learning facilitates human inference of transitive relations," Nature Human Behaviour, Nature, vol. 6(4), pages 555-564, April.
    17. Filip Gesiarz & Donal Cahill & Tali Sharot, 2019. "Evidence accumulation is biased by motivation: A computational account," PLOS Computational Biology, Public Library of Science, vol. 15(6), pages 1-15, June.
    18. Aurélien Nioche & Basile Garcia & Germain Lefebvre & Thomas Boraud & Nicolas P. Rougier & Sacha Bourgeois-Gironde, 2019. "Coordination over a unique medium of exchange under information scarcity," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-11, December.
    19. Tsutomu Harada, 2021. "Three heads are better than two: Comparing learning properties and performances across individuals, dyads, and triads through a computational approach," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    20. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    21. Sudipta Mukherjee, 2022. "Consumer altruism and risk taking: why do altruistic consumers take more risks?," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 19(4), pages 781-803, December.

  7. Leendert van Maanen & Joaquina Couto & Mael Lebreton, 2016. "Three Boundary Conditions for Computing the Fixed-Point Property in Binary Mixture Data," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.

    Cited by:

    1. Joaquina Couto & Leendert van Maanen & Maël Lebreton, 2020. "Investigating the origin and consequences of endogenous default options in repeated economic choices," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.

  8. Liane Schmidt & Maël Lebreton & Marie-Laure Cléry-Melin & Jean Daunizeau & Mathias Pessiglione, 2012. "Neural Mechanisms Underlying Motivation of Mental Versus Physical Effort," PLOS Biology, Public Library of Science, vol. 10(2), pages 1-13, February.

    Cited by:

    1. Andrew Westbrook & Daria Kester & Todd S Braver, 2013. "What Is the Subjective Cost of Cognitive Effort? Load, Trait, and Aging Effects Revealed by Economic Preference," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    2. Söderlund, Magnus & Sagfossen, Sofie, 2017. "The consumer experience: The impact of supplier effort and consumer effort on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 219-229.
    3. Laurel S Morris & Agnes Norbury & Derek A Smith & Neil A Harrison & Valerie Voon & James W Murrough, 2020. "Dissociating self-generated volition from externally-generated motivation," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-13, May.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Closeness measure in co-authorship network

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (2) 2018-11-26 2019-07-08
  2. NEP-CBE: Cognitive and Behavioural Economics (1) 2019-07-08
  3. NEP-ENE: Energy Economics (1) 2019-07-08
  4. NEP-EVO: Evolutionary Economics (1) 2020-11-09
  5. NEP-HEA: Health Economics (1) 2018-11-26
  6. NEP-NEU: Neuroeconomics (1) 2020-11-09
  7. NEP-UPT: Utility Models and Prospect Theory (1) 2019-07-08

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