Forthcoming

Journal Articles

Bustamante, L.*, Lieder, F.*, Musslick, S., Shenhav, A., & Cohen, J. (2021). Learning to overexert cognitive control in a Stroop task. DOI: 10.31234/osf.io/3rynj * These authors contributed equally.

Lieder, F., & Griffiths, T. (2020). Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources. Behavioral and Brain Sciences, 43, E1. doi:10.1017/S0140525X1900061X

Lieder, F., & Griffiths, T. (2020). Advancing rational analysis to the algorithmic level. Behavioral and Brain Sciences, 43, E27. doi:10.1017/S0140525X19002012

Lieder, F., Chen, O. X., Krueger, P. M., & Griffiths, T.L. (2019). Cognitive Prostheses for Goal Achievement. Nature Human Behavior. doi:10.13140/RG.2.2.16279.06564/1

Griffiths, T.L., Callaway, F., Chang. M., Grant, E., Krueger, P. M., & Lieder, F. (2019). Doing more with less: Meta-reasoning and meta-learning in humans and machines. Current Opinion in Behavioral Sciences, 29, 24-30. doi:10.1016/j.cobeha.2019.01.005

Lieder, F., Shenhav, A., Musslick, S., & Griffiths, T.L. (2018). Rational metareasoning and the plasticity of cognitive control. PLoS Computational Biology, 14(4):e1006043. DOI:10.1371/journal.pcbi.1006043

Lieder, F., & Griffiths, T. L. (2017). Strategy selection as rational metareasoning. Psychological Review, 124(6), 762-794.http://dx.doi.org/10.1037/rev0000075 [Article] [OSF Repository]

Lieder, F., Griffiths, T. L., & Hsu, M. (2018). Overrepresentation of Extreme Events in Decision Making Reflects Rational Use of Cognitive Resources. Psychological Review, 125(1), 1-32. doi: 10.1037/rev0000074 [Article]

Lieder, F., Griffiths, T.L., Huys, Q.J.M., & Goodman, N.D. (2017). The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review, 25(1), pp. 322-349. [Article]

Lieder, F., Griffiths, T.L., Huys, Q.J.M., & Goodman, N.D. (2017). Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review, 25(2), 775-784. doi:10.3758/s13423-017-1288-6 [Article]

Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T.L., Cohen, J.D., & Botvinick, M.M. (2017). Toward a rational and mechanistic account of mental effort. Annual Review of Neuroscience. [Article]

Griffiths, T.L., Lieder, F., & Goodman, N.D. (2015). Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic. Topics in Cognitive Science, 7(2), 217-229. [Article]

Lieder F., Stephan KE, Daunizeau J, Garrido MI, Friston KJ (2013) A Neurocomputational Model of the Mismatch Negativity. PLoS Computational Biology 9(11): e1003288. doi:10.1371/journal.pcbi.1003288. [Corrected Version].

Lieder F, Daunizeau J, Garrido MI, Friston KJ, Stephan KE (2013). Modelling Trial-by-Trial Changes in the Mismatch Negativity. PLoS Computational Biology, 9(2): e1002911. doi:10.1371/journal.pcbi.1002911.

Petersen, L.-E., & Lieder, F. (2006). The Effectiveness of Written and Graphic Health Warnings on Cigarette Packs: An Examination of the Revised Model of Protection Motivation. Zeitschrift für Sozialpsychologie, 37(4), 245-258. [Article]

Conference Articles

Kemtur, A., Jain, Y. R., Mehta, A., Callaway, F., Consul, S., Stojcheski, J., & Lieder, F. (2020) Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment. CogSci 2020.

Jain, Y. R., Callaway, F., & Lieder, F. (2019). Measuring how people learn how to plan. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. [Preprint]

Mohnert, F., Pachur, T., & Lieder, F. (2019). What's in the Adaptive Toolbox and How Do People Choose From It? Rational Models of Strategy Selection in Risky Choice. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. [Preprint]

Xu, L., Wirzberger, M. & Lieder, F. (2019). How should we incentivize learning? An optimal feedback mechanism for educational games and online courses. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. [Preprint]

Callaway, F., Gul, S., Krueger, P.M., Griffiths, T.L., Lieder, F. (2018). Learning to select computations. Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference. [Article]

Callaway, F.¹, Lieder, F.¹, Das, P., Gul, S., Krueger, P.M., Griffiths, T.L. (2018). A resource-rational analysis of human planning. Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. [Article] ¹These authors contributed equally.

Lieder, F.*, Krueger, P.M.*, & Griffiths, T.L. (2017). An Automatic Method for Discovering Rational Heuristics for Risky Choice. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.). Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. * These authors contributed equally. [Article]

Krueger, P.M.*, Lieder, F.*, & Griffiths, T.L. (2017). Enhancing Metacognitive Reinforcement learning using reward structures and feedback. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.). Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. * These authors contributed equally. [Article]

Milli, S., Lieder, F., & Griffiths, T.L. (2017). When does bounded-optimal metareasoning favor few cognitive systems? Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. [Article]

Bourgin, D.D.*, Lieder, F.*, Reichman, D.*, Talmon, N.*, & Griffiths, T.L.G. (2017). The Structure of Goal Systems Predicts Human Performance. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.). Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Austin TX: Cognitive Science Society. * These authors contributed equally. [Article]

Lieder, F., & Griffiths, T.L. (2016). Helping people make better decisions using optimal gamification. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society, pp. 2075-2080. [Article]

Lieder, F., & Griffiths, T.L. (2015). When to use which heuristic: A rational solution to the strategy selection problem. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [Article] [Poster]

Lieder, F.*, Sim, Z.*, Hu, J.C., Griffiths, T.L., & Xu, F. (2015). Children and adults differ in their strategies for social learning. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. * These authors contributed equally. [Paper] [Presentation]

Lieder, F., Plunkett, D., Hamrick, J.B., Russell, S.J, Hay, N.J., & Griffiths, T.L. (2014). Algorithm Selection by Rational Metareasoning as a Model of Human Strategy Selection. In Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence, and K.Q. Weinberger (Eds.). Advances in Neural Information Processing Systems 27, pp. 2870-2878. [Paper]

Lieder, F., Hsu, M., & Griffiths, T.L. (2014). The high availability of extreme events serves resource-rational decision-making. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [Paper] [Poster]

Lieder, F., Goodman, ND, & Huys, QJM (2013). Learned helplessness and generalization. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.) Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 900-905). Austin TX: Cognitive Science Society. [Paper]

Lieder, F., Griffiths, T.L., & Goodman, N.D. (2012). Burn-in, bias, and the rationality of anchoring. In P. Bartlett, F.C.N. Pereira, Leon Bottou, Chris J.C. Burges, & K.Q. Weinberger (editors). Advances in Neural Information Processing Systems 25, Lake Tahoe, USA. [Paper] [Poster]

Dissertation

Lieder, F. (2018). Beyond bounded rationality: Reverse-engineering and enhancing human intelligence (Ph.D. thesis). University of California, Berkeley. doi:10.13140/RG.2.2.16888.55041

Workshop Papers

Lieder, F.¹, Callaway, F.¹, Gul, S.¹, Krueger, P.M., & Griffiths, T.L. (2017). Learning to select computations. NIPS workshop on Cognitively Informed AI. arXiv:1711.06892. ¹ These authors contributed equally.

Conference Abstracts

Amo, V., Lieder, F. (2020). A gamified app that helps people overcome self-limiting beliefs by promoting metacognition. SIG 8 Meets SIG 16. [Extended Abstract]

Wirzberger, M., Oreshnikov, I., Passy, J., Lado, A., Shenhav, A., Lieder, F. (2020). ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit [ACTrain: An AI-based attention training for knowledge work] 66th Spring Conference of the German Ergonomics Society.

Jain, Y. R., Gupta, S., Rakesh, V., Dayan, P., Callaway, F., & Lieder, F. (2019). How do people learn how to plan? Conference on Cognitive Computational Neuroscience.

Iwama, G., Greenberg, S., Moore, D., & Lieder, F. (2019). Introducing the Decision Advisor: A simple online tool that helps people overcome cognitive biases and experience less regret in real-life decisions. Annual Meeting of the Society for Judgment and Decision Making. [Abstract]

Iwama, G., Wirzberger, M., & Lieder, F. (2019). The Goal Characteristics (GC) questionnaire: A comprehensive measure for goals' content, attainability, interestingness, and usefulness. Annual Meeting of the Society for Judgment and Decision Making. [Preprint]

Mohnert, F., Tosic, M., & Lieder, F. (2019). Testing Computational Models of Goal Pursuit. Conference on Cognitive Computational Neuroscience.

Lieder, F.*, Callaway, F.*, Jain, Y.R., Krueger, P.M., Das, P., Gul, S., & Griffiths, T.L. (2019). A cognitive tutor for helping people overcome present bias . RLDM 2019. DOI: 10.13140/RG.2.2.10467.20006 *These authors contributed equally.

Das, P., Callaway, F., Griffiths, T.L., & Lieder, F. (2019). Remediating cognitive decline with cognitive tutors. RLDM 2019. DOI: 10.13140/RG.2.2.36052.45443.

Jain, Y. R., Callaway, F., & Lieder, F. (2019). Measuring how people learn how to plan. RLDM 2019.

Gul, S., Krueger, P.M., Callaway, F., Griffiths, T.L., & Lieder, F. (2018). Discovering Rational Heuristics for Risky Choice. KogWis 2018. [Abstract]

Lieder, F., Callaway, F., Krueger, P.M., Griffiths, T.L., & Gul, S. (2018). Discovering and Teaching Optimal Planning Strategies. KogWis 2018. [Abstract]

Lieder, F., & Griffiths, T.L. (2017). Optimal gamification can help people procrastinate less. Annual Meeting of the Society for Judgment and Decision-Making. [Abstract]

Lieder, F.*, Krueger, P. M.*, Callaway, F.*, & Griffiths, T.L. (2017). A computerized training program for teaching people how to plan better. Annual Meeting of the Society for Judgment and Decision-Making. [Abstract]

Lieder, F.*, Krueger, P.M*., Callaway, F.*, & Griffiths (2017). A reward shaping method for promoting metacognitive learning. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Krueger, P.M*., Lieder, F.*, & Griffiths, T.L. (2017). Enhancing metacognitive reinforcement learning using reward structures and feedback. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Lieder, F.*, Krueger, P.M.*, & Griffiths, T.L. (2017). Automatically Deriving Rational Heuristics for Risky Choice. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Callaway, F.*, Lieder, F.*, & Krueger, P.M.*, & Griffiths, T.L. (2017). Mouselab-MDP: A new paradigm for tracing how people plan. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Bustamante, L.*, Lieder, F.*, Musslick, S., Shenhav, A., & Cohen, J. (2017). Learning to (mis)allocate control: maltransfer can lead to self-control failure. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Callaway, F., Lieder, F., & Griffiths, T.L. (2017). Helping people choose subgoals with sparse pseudo rewards. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Extended Abstract]

Lieder, F., & Griffiths, T.L. (2016). People learn to make rational use of fallible heuristics. SJDM conference 2016, Nov. 2016. [Abstract] [Poster]

Lieder, F., Griffiths, T.L., & Hsu, M. (2016). Overweighting extreme events reflects rational use of cognitive resources. SJDM conference 2016, Nov. 2016. [Abstract] [Slides]

Lieder, F., Griffiths, T.L., & Hsu, M. (2015). Utility-weighted sampling in decisions from experience. The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Abstract] [Video] [Presentation] [Poster]

Lieder, F., & Griffiths, T.L. (2015). Model-based strategy selection learning. The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making. [Abstract] [Poster]

Hu, J., Lieder, F., Griffiths, T.L., & Xu, F. (2015). Learning from others: Adult and child strategies in assessing conflicting ratings. Biennial Meeting of the Society for Research in Child Development, Philadelphia, Pennsylvania, USA.

Lieder, F., Goodman, N.D., & Griffiths, T.L. (2013). Reverse-Engineering Resource-Efficient Algorithms. Resource-Efficient Machine Learning Workshop @ NIPS 2013. [Abstract]

Lieder,F., Goodman, N.D., & Huys, Q.J.M.(2013). Controllability and resource-rational planning. Cosyne Abstracts 2013, Salt Lake City USA. [Abstract] [Poster]

Technical Reports

Lieder, F., Griffiths, T.L., Huys, Q.J.M., & Goodman, N.D. (2017). Testing models of anchoring and adjustment. PsyArXiv Preprint. [Report]

Lieder, F.*, Callaway, F.*, Gul, S.*, Krueger, P.M., & Griffiths, T.L. (2017). Learning to select computations. NIPS workshop on cognitively inspired Artificial Intelligence. http://arxiv.org/abs/1711.06892