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People construct simplified mental representations to plan

Authors: Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths - Nature 2022 cited by 118

Rational Use ofCognitive Resources…Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the AlgorithmicBonsai Trees in YourHead: How the Pavlovian…Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision TreesComputationalrationality: A…Computational rationality: A converging paradigm for intelligence in brains, minds, and machinesInterplay of approximateplanning strategiesInterplay of approximate planning strategiesFitting LinearMixed-Effects Models…Fitting Linear Mixed-Effects Models Using lme4Adaptive integration ofhabits into…Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrumThe successorrepresentation in human…The successor representation in human reinforcement learningThe hippocampus as apredictive mapThe hippocampus as a predictive mapA resource-rationalanalysis of human…A resource-rational analysis of human planningResource-rationalanalysis: Understanding…Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resourcesArray Programming withNumPyArray Programming with NumPySciPy 1.0: fundamentalalgorithms for…SciPy 1.0: fundamental algorithms for scientific computing in PythonA space of goals: thecognitive geometry of…A space of goals: the cognitive geometry of informationally bounded agentsHumans decompose tasksby trading off utility…Humans decompose tasks by trading off utility and computational costPushing the Bounds ofBounded Optimality and…Pushing the Bounds of Bounded Optimality and RationalityNaturalisticreinforcement learningNaturalistic reinforcement learningA recurrent networkmodel of planning…A recurrent network model of planning explains hippocampal replay and human behaviorBayesian ReinforcementLearning with Limited…Bayesian Reinforcement Learning with Limited Cognitive LoadFrom task structures toworld models: What do…From task structures to world models: What do LLMs know?Building Machines thatLearn and Think with…Building Machines that Learn and Think with PeopleAdaptive planning depthin human problem-solvingAdaptive planning depth in human problem-solvingExpert navigators deployrational…Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planningReconciling flexibilityand efficiency: medial…Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive mapHumans learngeneralizable…Humans learn generalizable representations through efficient codingPeople constructsimplified mental…People construct simplified mental representations to planEarlier referencesFocus paperCiting papersOlderNewer

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