Structured statistical models of inductive reasoning

Kemp, Charles, Tenenbaum, Joshua B.·2009·Psychological Review

Cited by (259)

Items 101–200 of 259

  1. The role of causal models in multiple judgments under uncertainty
    Brett K. Hayes, Guy E. Hawkins, Ben Rhodri Newell, Martina Pasqualino, Bob Rehder · 2014 · Cognition
  2. Learning to selectively attend
    Samuel Joseph Gershman, Jonathan Cohen, Yael Niv · 2010 · eScholarship (California Digital Library)
  3. Reasoning With Causal Cycles
    Bob Rehder · 2016 · Cognitive Science
  4. The pervasive effects of argument length on inductive reasoning
    Evan Heit, Caren M. Rotello · 2012 · Thinking & Reasoning
  5. Occam's Razor in sensorimotor learning
    Tim Genewein, Daniel A. Braun · 2014 · Proceedings of the Royal Society B Biological Sciences
  6. Beyond Markov: Accounting for independence violations in causal reasoning
    Bob Rehder · 2018 · Cognitive Psychology
  7. The natural stability of autonomous morphology: how an attraction–repulsion dynamic emerges from paradigm cell filling
    Erich R. Round, Louise Esher, Sacha Beniamine · 2024 · Morphology
  8. Learning structured representations from experience
    Leonidas A. A. Doumas, Andrea E. Martin · 2018 · The Psychology of learning and motivation/The psychology of learning and motivation
  9. The engine of thought is a hybrid: roles of associative and structured knowledge in reasoning.
    A. Bright, A. Feeney · 2014 · Journal of experimental psychology. General
  10. Evidential diversity increases generalisation in predictive learning
    Jessica C. Lee, Peter F. Lovibond, Brett K Hayes · 2019 · Quarterly Journal of Experimental Psychology
  11. Kategorisierung und Wissenserwerb
    Michael R. Waldmann · 2016 · Springer eBooks
  12. Active inductive inference in children and adults: A constructivist perspective
    Neil R Bramley, Fei Xu · 2023 · Cognition
  13. Rational argument, rational inference
    Ulrike Hahn, Adam J. L. Harris, Mike Oaksford · 2012 · Argument & Computation
  14. Learning predictive structure without a teacher: decision strategies and brain routes
    Zoe Kourtzi, Andrew E. Welchman · 2019 · Current Opinion in Neurobiology
  15. Human-like property induction is a challenge for large language models
    Simon Jerome Han, Keith Ransom, Andrew Perfors, Charles Kemp · 2022
  16. Causal knowledge and the development of inductive reasoning
    Aimee Kay Bright, Aidan Feeney · 2014 · Journal of Experimental Child Psychology
  17. How Semantic Radicals in Chinese characters Facilitate Hierarchical Category-Based Induction
    Xiaoxi Wang, Xie Ma, Yachen Tao, Yachen Tao, Hong Li · 2018 · Scientific Reports
  18. The Emergence of Organizing Structure in Conceptual Representation
    Joshua B. Tenenbaum · 2018 · DSpace@MIT (Massachusetts Institute of Technology)
  19. The discovery and comparison of symbolic magnitudes
    Dawn Chen, Hongjing Lu, Keith J. Holyoak · 2014 · Cognitive Psychology
  20. Social Relational Notions of Successful Aging: Contesting Dominant Individualized Conceptions of Successful Aging By Examining Migrant Intergenerational Lived Experiences
    Hien Thi Nguyen, Loretta V. Baldassar, Raelene Wilding, Bronte Jones · 2024 · The Gerontologist
  21. The weakness of must: In defense of a Mantra
    Daniel Lassiter · 2015 · Proceedings from Semantics and Linguistic Theory
  22. Constructing a hypothesis space from the Web for large-scale Bayesian word learning.
    Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths · 2012 · eScholarship (California Digital Library)
  23. Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences
    Ajaz Ahmad Bhat, Vishwanathan Mohan, Giulio Sandini, Pietro Morasso · 2016 · Journal of The Royal Society Interface
  24. Learning to predict is spared in mild cognitive impairment due to Alzheimer’s disease
    Rosalind Baker, Peter Bentham, Zoe Kourtzi · 2015 · Experimental Brain Research
  25. A Nonparametric Bayesian Model of Multi-Level Category Learning
    Kevin Robert Canini, Thomas L. Griffiths · 2011 · Proceedings of the AAAI Conference on Artificial Intelligence
  26. Concepts and CategorizationWe are grateful to Alice Healy, Robert Proctor, Brian Rogosky, and Irving Weiner for helpful comments on earlier drafts of this chapter. This research was funded by National Science Foundation REESE grant DRL‐0910218, and Department of Education IES grant R305A1100060. Correspondence concerning this chapter should be addressed to rgoldsto@indiana.edu or Robert Goldstone, Psychology Department, Indiana University, Bloomington, Indiana 47405. Further information about the laboratory can be found at http://cognitrn.psych.indiana.edu
    Robert L. Goldstone, Alan W. Kersten, Paulo F. Carvalho · 2012 · Wiley eBooks
  27. Inductive reasoning in minds and machines.
    Sudeep Bhatia · 2023 · Psychological Review
  28. Nonreactive testing: Evaluating the effect of withholding feedback in predictive learning.
    Jessica C. Lee, Mike E. Le Pelley, Peter F. Lovibond · 2021 · Journal of Experimental Psychology Animal Learning and Cognition
  29. Categorical induction from uncertain premises: Jeffrey's doesn't completely rule
    Constantinos Hadjichristidis, Steven A. Sloman, David E. Over · 2014 · Thinking & Reasoning
  30. Category and feature identification
    Charles Kemp, Kai-min Kevin Chang, Luigi Lombardi · 2010 · Acta Psychologica
  31. Forget-me-some: General versus special purpose models in a hierarchical probabilistic task
    Franziska Bröker, Louise Marshall, Sven Bestmann, Peter Dayan · 2018 · PLoS ONE
  32. Bayesian Inference
    Thomas L. Griffiths, Joshua B. Tenenbaum, Charles Kemp · 2012 · Oxford University Press eBooks
  33. Ping Pong in Church: Productive use of concepts in human probabilistic inference
    Tobias Gerstenberg, Noah D. Goodman · 2012 · eScholarship (California Digital Library)
  34. Developmental Changes in Strategies for Gathering Evidence About Biological Kinds
    Emily Foster‐Hanson, Kelsey Moty, Amanda Cardarelli, John Daryl Ocampo, Marjorie Rhodes · 2020 · Cognitive Science
  35. A transitivity heuristic of probabilistic causal reasoning
    Momme von Sydow, Björn Meder, York Hagmayer · 2009 · Max Planck Institute for Plasma Physics
  36. Sources of Racialism
    Ron Mallon · 2010 · Journal of Social Philosophy
  37. Abstract representations emerge in human hippocampal neurons during inference behavior
    Hristos S. Courellis, Juri Mixha, Araceli R. Cardenas, Daniel L. Kimmel, Chrystal M. Reed, Taufik A. Valiante, C. Daniel Salzman, Adam N. Mamelak, Stefano Fusi, Ueli Rutishauser · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  38. Adding Types, But Not Tokens, Affects Property Induction
    Belinda Xie, Danielle Navarro, Brett K. Hayes · 2020 · Cognitive Science
  39. Scaling up Predictive Processing to language with Construction Grammar
    Christian Michel · 2022 · Philosophical Psychology
  40. Reasoning
    Sangeet Khemlani · 2018 · Wiley eBooks
  41. Bayesian Models of Conceptual Development: Learning as Building Models of the World
    Tomer David Ullman, Joshua B. Tenenbaum · 2020
  42. Dual-process theories of thought as potential architectures for developing neuro-symbolic AI models
    Giorgio Gronchi, Axel Perini · 2024 · Frontiers in Cognition
  43. Assessments of equivocal salesperson behavior and their influences on the quality of buyer-seller relationships
    Jody L. Crosno, Robert Francis Dahlstrom, Scott B. Friend · 2020 · Journal of Personal Selling and Sales Management
  44. The Effect of Evidential Impact on Perceptual Probabilistic Judgments
    Marta Mangiarulo, Stefania Pighin, Luca Polonio, Katya Tentori · 2021 · Cognitive Science
  45. Learning temporal statistics for sensory predictions in mild cognitive impairment
    Caroline Di Bernardi Luft, Rosalind Baker, Peter Bentham, Zoe Kourtzi · 2015 · Neuropsychologia
  46. Raising argument strength using negative evidence: a constraint on models of induction
    Daniel Heussen, Wouter Voorspoels, Steven Verheyen, Gert Storms, James A. Hampton · 2011 · Memory & Cognition
  47. Human representation and reasoning about complex causal systems
    Steven A. Sloman, Philip M. Fernbach · 2011 · Information Knowledge Systems Management
  48. Evaluating the inverse reasoning account of object discovery
    Christopher D. Carroll, Charles Kemp · 2015 · Cognition
  49. Précis of Doing without Concepts
    Édouard Machery · 2010 · Mind & Language
  50. Using Guided Play to Facilitate Young Children’s Exploratory Learning
    Yue Yu · 2022 · Empowering teaching and learning through policies and practice
  51. An inductive bias for slowly changing features in human reinforcement learning
    Noa L. Hedrich, Eric Schulz, Sam Hall-McMaster, Nicolas W. Schuck · 2024 · PLoS Computational Biology
  52. Modelling students’ knowledge organisation: Genealogical conceptual networks
    Ismo T. Koponen, Maija Nousiainen · 2017 · Physica A Statistical Mechanics and its Applications
  53. Inductive Reasoning Differs Between Taxonomic and Thematic Contexts: Electrophysiological Evidence
    Fangfang Liu, Jiahui Han, Lingcong Zhang, Fuhong Li · 2019 · Frontiers in Psychology
  54. Common and distinctive cognitive processes between categorization and category-based induction: Evidence from event-related potentials
    Jiyue Yang, Changquan Long · 2020 · Brain Research
  55. Role of inductive reasoning, gender, learning satisfaction, and educational and career preference in predicting scientific competency in high school
    Azizul Ghofar Candra Wicaksono, Erzsébet Korom · 2023 · Thinking Skills and Creativity
  56. Inductive Logic and Empirical Psychology
    Nick Chater A, Mike Oaksford, Ulrike Hahn, Evan Heit · 2011 · Handbook of the history of logic
  57. When Children Ignore Evidence in Category-Based Induction
    Marjorie Rhodes · 2012 · Advances in child development and behavior
  58. Defending the concept of “concepts”
    Brett K. Hayes, Lauren Kearney · 2010 · Behavioral and Brain Sciences
  59. Sustaining caring mobilities in immobility regimes: adaptive strategies of Vietnamese migrant (grand)parents in Australia
    Hien Thi Nguyen, Catriona Stevens, Loretta V. Baldassar · 2026 · Journal of Ethnic and Migration Studies
  60. The new Tweety puzzle: arguments against monistic Bayesian approaches in epistemology and cognitive science
    Matthias Unterhuber, Gerhard Schurz · 2012 · Synthese
  61. Visuospatial information foraging describes search behavior in learning latent environmental features
    David L. Barack, Akram Bakkour, Daphna Shohamy A, C. Daniel Salzman · 2023 · Scientific Reports
  62. Spontaneous Task Structure Formation Results in a Cost to Incidental Memory of Task Stimuli
    Christina Bejjani, Tobias Egner · 2019 · Frontiers in Psychology
  63. A Computational Approach towards Visual Object Recognition at Taxonomic Levels of Concepts
    Zahra Sadeghi, Babak Nadjar Araabi, Majid Nili Ahmadabadi · 2015 · Computational Intelligence and Neuroscience
  64. How we learn things we don’t know already: A theory of learning structured representations from experience
    Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  65. Where the truth lies: how sampling implications drive deception without lying
    Keith Ransom, Wouter Voorspoels, Danielle Navarro, Andrew Perfors · 2019
  66. Cognitive superiority of athletic sports expert and its formation mechanisms: A perspective from automaticity and abstraction
    Xinyu Chu, Ze-Jun WANG · 2024 · Advances in Psychological Science
  67. The 'Fundamental Attribution Error' is rational in an uncertain world.
    Drew E. Walker, Kevin A. Smith, Ed Vul · 2015
  68. The Effects of Domain and Type of Knowledge on Category-Based Inductive Reasoning
    Aimee Kay Bright, Aidan Feeney · 2010 · eScholarship (California Digital Library)
  69. The diversity principle and the evaluation of evidence
    Nathan G. Couch · 2022 · Psychonomic Bulletin & Review
  70. Reasoning in teaching and misleading situations.
    Russell Warner, Todd Stoess, Patrick Shafto · 2011 · eScholarship (California Digital Library)
  71. Learning Task-General Representations with Generative Neuro-Symbolic Modeling
    Reuben Feinman, Brenden M. Lake · 2020 · arXiv (Cornell University)
  72. Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links
    Fumiko Kano Glückstad, Tue Herlau, Mikkel Nørgaard Schmidt, Morten Mørup · 2013 · Artificial Intelligence and Law
  73. Explanatory Reasoning for Inductive Confidence
    David H. Landy, John E. Hummel · 2010 · eScholarship (California Digital Library)
  74. Keeping Bayesian models rational: The need for an account of algorithmic rationality
    David J. Danks, Frederick Eberhardt · 2011 · Behavioral and Brain Sciences
  75. In praise of secular Bayesianism
    Evan Heit, Shanna Erickson · 2011 · Behavioral and Brain Sciences
  76. Optimal response selection and decisional separability in Gaussian general recognition theory
    Noah H. Silbert, Robin D. Thomas · 2014 · Journal of Mathematical Psychology
  77. Towards a pattern-based logic of probability judgements and logical inclusion “fallacies”
    Momme von Sydow · 2016 · Thinking & Reasoning
  78. Unifying principles of generalization: past, present, and future
    Charley M. Wu, Björn Meder, Eric Schulz · 2024
  79. Applying Bayesian Network to Assess the Levels of Skills Mastering in Adaptive Dynamic OER-Systems
    Nekhaev, Igor, Zhuykov, Ilya, Manukyants, Suren, Maslennikov, Artyom · 2020 · Advances in Intelligent Systems and Computing
  80. Generic Testimony Interacts with Statistical Evidence in Adults’ and Children's Category-Based Induction
    Zoe Finiasz, Susan A. Gelman, Tamar Kushnir · 2023 · Cognition
  81. Successful Ageing: The Novel Perspectives and Experiences of Vietnamese Migrants in Australia
    Hien Thi Nguyen, Loretta V. Baldassar, Raelene Wilding · 2023 · Quality of life in Asia
  82. A Quantum Bayes Net Approach to Causal Reasoning
    Jennifer S. Trueblood, Percy K. Mistry, Emmanuel M. Pothos · 2015 · Advanced series on mathematical psychology
  83. A theory of the detection and learning of structured representations of similarity and relative magnitude
    Alex Doumas, Aaron Hamer, Guillermo Puebla, Andrea E. Martin · 2017 · Conference Cognitive Science
  84. No Evidence That Abstract Structure Learning Disrupts Novel-Event Learning in 8- to 11-Month-Olds
    Rachel Wu, Ting Qian, Richard Ν. Aslin · 2019 · Frontiers in Psychology
  85. On Semantic Cognition, Inductive Generalization, and Language Models
    Kanishka Misra · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  86. Testing a Structural Equation Model of Language-based Cognitive Fitness
    E.A. Moxley-Paquette, Gary J Burkholder · 2014 · Procedia - Social and Behavioral Sciences
  87. Comparing the inductive biases of simple neural networks and Bayesian models
    Thomas L. Griffiths, Joseph L. Austerweil, Vincent G. Berthiaume · 2012 · eScholarship (California Digital Library)
  88. Minimal covariation data support future one-shot inferences about unobservable properties of novel agents.
    Julian Jara‐Ettinger, Hyowon Gweon C · 2017 · eScholarship (California Digital Library)
  89. A FOUNDATION FOR INDUCTIVE REASONING IN HARNESSING THE POTENTIAL OF BIG DATA
    R. Hassad · 2020 · Statistics Education Research Journal
  90. Cognitive Graphs of Latent Structure in Rostral Anterior Cingulate Cortex
    Maksym Manakov, Mikhail Proskurin, Hanqing Wang, Е. П. Кулешова, Andy Lustig, Reza Behnam, Shaul Druckmann, D. Gowanlock R. Tervo, Alla Y. Karpova · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  91. Beyond computational equivalence: the behavioral inference principle for machine consciousness
    Stefano Palminteri, Charley M. Wu · 2026 · Neuroscience of Consciousness
  92. Valence‐Dependent Implicit Action Generalization Among Group Members
    Jiecheng Huangliang, Yinfeng Hu, Xutao ZHENG, Zikai Xu, Wenying Zhou, Jun Yin · 2024 · Cognitive Science
  93. Remote Coastal Weed Infestation Management Using Bayesian Networks
    Stuart Kininmonth, Kerry Spencer, Amie Hill, Eric Sjerp, Jethro Bangay · 2024 · Diversity
  94. Anticipated variability increases generalization of predictive learning
    Hadar Ram, Guy Grinfeld, Nira Liberman · 2024 · npj Science of Learning
  95. Identifying Transfer Learning in the Reshaping of Inductive Biases
    Anna Székely, Balázs Török, Mariann M. Kiss, Karolina Janacsek, Dezső Németh, Gergő Orbán · 2024 · Open Mind
  96. Kategorisierung und Wissenserwerb
    Michael R. Waldmann · 2024 · Springer eBooks
  97. Taking the rationality out of probabilistic models
    Bob Rehder · 2011 · Behavioral and Brain Sciences
  98. Research Progress of Knowledge Graph Based on Knowledge Base Embedding
    Tang Caifang, Rao Yuan, Hualei Yu, Jiamin Cheng · 2018 · Communications in computer and information science
  99. Psychologie cognitive expérimentale
    Stanislas Dehaene · 2013 · L’annuaire du Collège de France
  100. MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition
    Guangyue Xu, Parisa Kordjamshidi, Joyce Yue Chai · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)