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By Lieder, F.
Probabilistic Reasoning
Rational Process Models
Decision Making and Reinforcement Learning
Lieder, F., & Griffiths, T. L. (in press). Strategy selection as rational metareasoning. Psychological Review. (pdf)
Probabilistic Reasoning
Rational Process Models
Decision Making and Reinforcement Learning
Lieder, F., Griffiths, T. L., & Hsu, M. (in press). Over-representation of extreme events in decision making reflects rational use of cognitive resources. Psychological Review. (pdf)
Probabilistic Reasoning
Rational Process Models
Decision Making and Reinforcement Learning
Lieder, F., Griffiths, T. L., Huys, Q. J. M., & Goodman, N. D. (in press). Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review. (pdf)
Probabilistic Reasoning
Rational Process Models
Decision Making and Reinforcement Learning
Lieder, F., Griffiths, T. L., Huys, Q. J. M., & Goodman, N. D. (in press). The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review. (pdf)
Rational Process Models
Bourgin, D. D., Lieder, F., Reichman, D., Talmon, N., & Griffiths, T. L. (2017). The structure of goal systems predicts human performance. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
Decision Making and Reinforcement Learning
Krueger, P. M., Lieder, F., & Griffiths, T. L. (2017). Enhancing metacognitive reinforcement learning using reward structures and feedback. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
Rational Process Models
Decision Making and Reinforcement Learning
Lieder, F., Krueger, P. M., & Griffiths, T. L. (2017). An automatic method for discovering rational heuristics for risky choice. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
Probabilistic Reasoning
Rational Process Models
Milli, S., Lieder, F., & Griffiths, T. L. (2017) When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? Proceedings of the 31st AAAI Conference on Artificial Intelligence. (pdf)
Rational Process Models
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.(pdf)
Rational Process Models
Lieder, F., & Griffiths, T. L. (2016). Helping people make better decisions using optimal gamification Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pdf)
Probabilistic Reasoning
Rational Process Models
Lieder, F., & Griffiths, T. L. (2015). When to use which heuristic: A rational solution to the strategy selection problem. Proceedings of the 37th Annual Conference of the Cognitive Science Society. (pdf)
Cognitive Development
Probabilistic Reasoning
Lieder, F., Sim, Z., Hu, J. C., & Griffiths, T. L. (2015). Children and adults differ in their strategies for social learning. Proceedings of the 37th Annual Conference of the Cognitive Science Society. (pdf)
Foundations
Rational Process Models
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, 217-229. (pdf)
Rational Process Models
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. Advances in Neural Information Processing Systems, 27. (pdf)
Probabilistic Reasoning
Rational Process Models
Lieder, F., Hsu, M., & Griffiths, T. L. (2014). The high availability of extreme events serves resource-rational decision-making. Proceedings of the 36th Annual Conference of the Cognitive Science Society. (pdf)
Probabilistic Reasoning
Rational Process Models
Lieder, F., Griffiths, T. L., & Goodman, N. D. (2012). Burn-in, bias, and the rationality of anchoring. Advances in Neural Information Processing Systems, 25. (pdf)

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