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Inverting Cognitive Models With Neural Networks to Infer Preferences From Fixations
14 references·0 citing·43 second hop
Inverting Cognitive Models With Neural Networks to Infer Preferences From Fixations (2024)Inverting Cognitive Models With Neural Ne…Using large-scale experiments and machine learning to discover theories of human decision-making (2021)Using large-scale experiments…Optimal policy for attention-modulated decisions explains human fixation behavior (2021)Optimal policy for attention-…Fixation patterns in simple choice reflect optimal information sampling (2021)Fixation patterns in simple c…Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control (2021)Cognitive Science as a Source…A rational model of people's inferences about others' preferences based on response times (2021)A rational model of people's …Value-based attention but not divisive normalization influences decisions with multiple alternatives (2020)Value-based attention but not…Theory of mind as inverse reinforcement learning (2019)Theory of mind as inverse rei…Cognitive Model Priors for Predicting Human Decisions (2019)Cognitive Model Priors for Pr…Machine Theory of Mind (2018)Machine Theory of MindRational quantitative attribution of beliefs, desires and percepts in human mentalizing (2017)Rational quantitative attribu…People learn other people's preferences through inverse decision-making (2017)People learn other people's p…The Child as Econometrician: A Rational Model of Preference Understanding in Children (2014)The Child as Econometrician: …Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions (2011)Multialternative drift-diffus…Visual fixations and the computation and comparison of value in simple choice (2010)Visual fixations and the comp…Individual Choice Behavior (1962)Conditional logit analysis of qualitative choice behavior (1972)Elimination by aspects: A theory of choice. (1972)Bayesian models of child development (2014)Bayesian Models of Conceptual Development: Learning as Building Models of the World (2020)Learning from other minds: an optimistic critique of reinforcement learning models of social learning (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. (1993)Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study (2011)Attention and choice: A review on eye movements in decision making (2013)Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception (1983)Thinking, Fast and Slow (2011)Theory of games and economic behavior (2019)Knowledge before belief (2020)Foundations of theory of mind and its development in early childhood (2022)Does the autistic child have a “theory of mind” ? (1985)The Intentional Stance (1987)Five Rules for the Evolution of Cooperation (2006)Knowing me, knowing you: theory of mind in AI (2020)Planning with Theory of Mind (2022)The role of shared mental models in human-AI teams: a theoretical review (2022)The Psychology of Interpersonal Relations. (1958)Computation and Cognition (1984)Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning (2022)Measuring utility by a single-response sequential method (1964)Implications of rational inattention (2003)A manifesto for reproducible science (2017)Promises and Perils of Experimentation: The Mutual-Internal-Validity Problem (2021)The Theory of Games and Economic Behavior (1945)Finite-time Analysis of the Multiarmed Bandit Problem (2002)The elusiveness of context effects in decision making (2021)Modeling Eye Movements During Decision Making: A Review (2022)Rational use of cognitive resources in human planning (2022)Advances in prospect theory: Cumulative representation of uncertainty (1992)Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences (2022)Using games to understand the mind (2024)Predicting human decisions with behavioural theories and machine learning (2025)Relative visual saliency differences induce sizable bias in consumer choice (2011)The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions (2012)Behavioral inattention (2018)Young children consider the expected utility of others’ learning to decide what to teach (2019)Inferential social learning: cognitive foundations of human social learning and teaching (2021)
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References

  • 2010Visual fixations and the computation and comparison of value in simple choice1,406 cited
  • 2011Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions728 cited
  • 2017Rational quantitative attribution of beliefs, desires and percepts in human mentalizing515 cited
  • 2018Machine Theory of Mind252 cited
  • 2021Using large-scale experiments and machine learning to discover theories of human decision-making250 cited
  • 2019Theory of mind as inverse reinforcement learning207 cited
  • 2020Value-based attention but not divisive normalization influences decisions with multiple alternatives177 cited
  • 2021Fixation patterns in simple choice reflect optimal information sampling130 cited
  • 2014The Child as Econometrician: A Rational Model of Preference Understanding in Children95 cited
  • 2017People learn other people's preferences through inverse decision-making82 cited
  • 2021Optimal policy for attention-modulated decisions explains human fixation behavior80 cited
  • 2019Cognitive Model Priors for Predicting Human Decisions56 cited
  • 2021Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control42 cited
  • 2021A rational model of people's inferences about others' preferences based on response times

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