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The anchoring bias reflects rational use of cognitive resources, , , и . Psychonomic Bulletin & Review, 25 (1): 322--349 (февраля 2018)Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic., , и . Top. Cogn. Sci., 7 (2): 217-229 (2015)Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment., , , , , , и . CogSci, cognitivesciencesociety.org, (2020)Leveraging AI for Effective To-Do List Gamification., , и . MuC (Workshopband), Gesellschaft für Informatik e.V., (2022)When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?, , и . AAAI, стр. 4422-4428. AAAI Press, (2017)Enhancing metacognitive reinforcement learning using reward structures and feedback., , и . CogSci, cognitivesciencesociety.org, (2017)Extending Rationality., , , , , , , , , и 3 other автор(ы). CogSci, стр. 39-40. cognitivesciencesociety.org, (2019)How should we incentivize learning? An optimal feedback mechanism for educational games and online courses., , и . CogSci, стр. 3136-3142. cognitivesciencesociety.org, (2019)How to navigate everyday distractions: Leveraging optimal feedback to train attention control., , , , , , , и . CogSci, cognitivesciencesociety.org, (2020)Learning planning strategies without feedback., , и . CogSci, cognitivesciencesociety.org, (2023)