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Resource-rational decision making

Authors: Rahul Bhui, Lucy Lai, Samuel J. Gershman - Current Opinion in Behavioral Sciences 2021 cited by 174

Elements of InformationTheoryElements of Information TheoryImplications of rationalinattentionImplications of rational inattentionTrading Value andInformation in MDPsTrading Value and Information in MDPsValue normalization indecision making: theory…Value normalization in decision making: theory and evidenceNormalization is ageneral neural mechanis…Normalization is a general neural mechanism for context-dependent decision makingLawful relation betweenperceptual bias and…Lawful relation between perceptual bias and discriminabilityNormalized value codingexplains dynamic…Normalized value coding explains dynamic adaptation in the human valuation processEfficient coding ofsubjective valueEfficient coding of subjective valueReference effects ondecision-making elicite…Reference effects on decision-making elicited by previous rewardsResource-rationalanalysis: Understanding…Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resourcesChoice-theoreticfoundations of the…Choice-theoretic foundations of the divisive normalization modelEfficient sampling andnoisy decisionsEfficient sampling and noisy decisionsNeural implementationsof Bayesian inferenceNeural implementations of Bayesian inferenceRational inattention inmiceRational inattention in miceHumans account forcognitive costs when…Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigationA reference-based theoryof motivation and effor…A reference-based theory of motivation and effort allocationAn Information-TheoreticAccount of Availability…An Information-Theoretic Account of Availability Effects in Language ProductionHuman decision makingbalances reward…Human decision making balances reward maximization and policy compressionRationality,preferences, and…Rationality, preferences, and emotions with biological constraints: it all starts from our sensesBayesian ReinforcementLearning with Limited…Bayesian Reinforcement Learning with Limited Cognitive LoadReward prediction errorneurons implement an…Reward prediction error neurons implement an efficient code for rewardWhat’s in a sample?Epistemic uncertainty…What’s in a sample? Epistemic uncertainty and metacognitive awareness in risk takingA timeline of cognitivecosts in decision-makingA timeline of cognitive costs in decision-makingThe geometry ofefficient codes: How…The geometry of efficient codes: How rate-distortion trade-offs distort the latent representations of generative modelsResource-rationaldecision makingResource-rational decision makingEarlier referencesFocus paperCiting papersOlderNewer

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