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  1.  41
    Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources.Falk Lieder & Thomas L. Griffiths - forthcoming - Behavioral and Brain Sciences:1-85.
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  2.  75
    Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.
    Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the (...)
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  3.  19
    Strategy selection as rational metareasoning.Falk Lieder & Thomas L. Griffiths - 2017 - Psychological Review 124 (6):762-794.
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  4.  24
    Overrepresentation of extreme events in decision making reflects rational use of cognitive resources.Falk Lieder, Thomas L. Griffiths & Ming Hsu - 2018 - Psychological Review 125 (1):1-32.
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  5.  11
    A rational reinterpretation of dual-process theories.Smitha Milli, Falk Lieder & Thomas L. Griffiths - 2021 - Cognition 217 (C):104881.
  6.  1
    Resource‐rational Models of Human Goal Pursuit.Ben Prystawski, Florian Mohnert, Mateo Tošić & Falk Lieder - 2022 - Topics in Cognitive Science 14 (3):528-549.
    Topics in Cognitive Science, Volume 14, Issue 3, Page 528-549, July 2022.
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    The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance.Daniel Reichman, Falk Lieder, David D. Bourgin, Nimrod Talmon & Thomas L. Griffiths - 2023 - Cognitive Science 47 (8):e13330.
    We study human performance in two classical NP‐hard optimization problems: Set Cover and Maximum Coverage. We suggest that Set Cover and Max Coverage are related to means selection problems that arise in human problem‐solving and in pursuing multiple goals: The relationship between goals and means is expressed as a bipartite graph where edges between means and goals indicate which means can be used to achieve which goals. While these problems are believed to be computationally intractable in general, they become more (...)
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