Bayesian learning theory applied to human cognition.

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Wiley Interdisciplinary Reviews: Cognitive Science

• Publication date

  Unknown publication date

• Fields of study

  Medicine, Computer Science, Psychology

• Identifiers
  DOI 10.1002/wcs.80PMID 26301909
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Data Warehouse Tuning: The Supremacy of Bitmap Index

  2013cited by this paper
• Semi-rational models of conditioning: The case of trial order

  2012cited by this paper
• Possible Principles Underlying the Transformations of Sensory Messages

  2012cited by this paper
• Visual Learning in Multisensory Environments

  2010cited by this paper
• Detecting and predicting changes.

  2009cited by this paper
• The Cambridge Handbook of Computational Psychology

  2009cited by this paper
• Bayesian Spiking Neurons II: Learning

  2008cited by this paper
• The probabilistic mind

  2008cited by this paper
• Performing Bayesian Inference with Exemplar Models

  2008cited by this paper
• Categorization as nonparametric Bayesian density estimation

  2008cited by this paper
• The probabilistic mind: prospects for Bayesian cognitive science

  2008cited by this paper
• A Rational Analysis of Rule-Based Concept Learning

  2008cited by this paper
• Neural correlates of partial lexical activation

  2008cited by this paper
• The discovery of structural form

  2008cited by this paper
• Proceedings of the 30th Annual Conference of the Cognitive Science Society.

  2008cited by this paper
• Bayesian approaches to associative learning: From passive to active learning

  2008cited by this paper
• Bayesian models of cognition

  2008cited by this paper
• Learning Bayesian networks

  2007cited by this paper
• Iterated learning: Intergenerational knowledge transmission reveals inductive biases

  2007cited by this paper
• Intuitive theories as grammars for causal inference

  2007cited by this paper
• Word learning as Bayesian inference.

  2007cited by this paper
• Causal Inference in Multisensory Perception

  2007cited by this paper
• Causal learning : psychology, philosophy, and computation

  2007cited by this paper
• A more rational model of categorization

  2006cited by this paper
• Proceedings of the 28th Annual Conference of the Cognitive Science Society

  2006cited by this paper
• Proceedings of the 28th Annual Conference of the Cognitive Science Society

  2006cited by this paper
• Theory-based Bayesian models of inductive learning and reasoning.

  2006cited by this paper
• Locally Bayesian learning with applications to retrospective revaluation and highlighting.

  2006cited by this paper
• Bayesian theories of conditioning in a changing world.

  2006cited by this paper
• Finding useful questions: on Bayesian diagnosticity, probability, impact, and information gain.

  2005cited by this paper
• Information Theory, Inference, and Learning Algorithms

  2005cited by this paper
• Bayesian Data Analysis, 2nd edn

  2005cited by this paper
• Information Theory, Inference, and Learning Algorithms

  2004cited by this paper
• Bayesian integration in sensorimotor learning

  2004cited by this paper
• The ventriloquist effect results from near-optimal bimodal integration.

  2004cited by this paper
• Optimality principles in sensorimotor control

  2004cited by this paper
• The visual neurosciences

  2004cited by this paper
• Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers

  2004cited by this paper
• Bayesian integration of visual and auditory signals for spatial localization.

  2003cited by this paper
• Do humans optimally integrate stereo and texture information for judgments of surface slant?

  2003cited by this paper
• Proceedings of the 25th annual conference of the Cognitive Science Society

  2003cited by this paper
• Optimal data selection: Revision, review, and reevaluation

  2003cited by this paper
• Inferring causal networks from observations and interventions

  2003cited by this paper
• Artificial intelligence - a modern approach, 2nd Edition

  2003cited by this paper
• Ideal Observer Analysis

  2002cited by this paper
• Theory-Based Causal Inference

  2002cited by this paper
• Humans integrate visual and haptic information in a statistically optimal fashion

  2002cited by this paper
• Explaining Away in Weight Space

  2000cited by this paper
• Why can't you tickle yourself?

  2000cited by this paper
• Cognitive Modeling

  2000cited by this paper
• Optimal integration of texture and motion cues to depth.

  1999cited by this paper
• Probabilistic Principal Component Analysis

  1999cited by this paper
• A Unifying Review of Linear Gaussian Models

  1999cited by this paper
• Simple Heuristics That Make Us Smart

  1999cited by this paper
• Rational models of cognition

  1998cited by this paper
• Computational models of sensorimotor integration

  1997cited by this paper
• EM Algorithms for PCA and SPCA

  1997cited by this paper
• An Invitation to cognitive science

  1997cited by this paper
• Activation of auditory cortex during silent lipreading.

  1997cited by this paper
• Bayesian Data Analysis.

  1996cited by this paper
• Bayesian decision theory and psychophysics

  1996cited by this paper
• Measurement and modeling of depth cue combination: in defense of weak fusion.

  1995cited by this paper
• A perturbation analysis of depth perception from combinations of texture and motion cues.

  1993cited by this paper
• Proceedings of the 1997 conference on Advances in neural information processing systems 10

  1990cited by this paper
• The Adaptive Character of Thought

  1990cited by this paper
• A Statistical Framework for Robust Fusion of Depth Information

  1989cited by this paper
• Probabilistic reasoning in intelligent systems

  1988cited by this paper
• Forward and Backward Blocking in Human Contingency Judgement

  1985cited by this paper
• Judgment Under Uncertainty: Heuristics and Biases.

  1984cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• Heuristics and Biases

  1974cited by this paper
• New directions in the theory of graphs

  1973cited by this paper
• A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement

  1972cited by this paper
• Signal detection theory and psychophysics

  1966cited by this paper
• The Algebra of Probable Inference

  1962cited by this paper

• Toward Complementary Intelligence: Integrating Cognitive and Machine AI

  2026cites this paper
• Transforming clinical reasoning—the role of AI in supporting human cognitive limitations

  2026cites this paper
• Changing beliefs or changing behavior? Understanding the belief‐to‐behavior process and intervening to curb the impact of misinformation

  2025cites this paper
• Cognitive Atrophy Paradox of AI-Human Interaction: From Cognitive Growth and Atrophy to Balance

  2025cites this paper
• Cognitive Foundations for Reasoning and Their Manifestation in LLMs

  2025cites this paper
• Exploring the use of Bayesian networks to model noticing patterns for groups of teachers and changes in noticing patterns over time

  2025cites this paper
• Neural variability in the default mode network compresses with increasing belief precision during Bayesian inference

  2025cites this paper
• A task-invariant prior explains trial-by-trial active avoidance behaviour across gain and loss tasks

  2025cites this paper
• Understanding Belief-Behavior Correspondence: Beliefs and Belief-to-Behavior Inferences

  2025cites this paper
• In-context learning agents are asymmetric belief updaters

  2024cites this paper
• Bayesian reinforcement learning: A basic overview.

  2024cites this paper
• Functional Neurological Disorder and Autism Spectrum Disorder: A Complex and Potentially Significant Relationship

  2024cites this paper
• The Concept of Innate Sexual Priors in the Brain: A Theory on Why We Are Attracted to What We Are Attracted to

  2024cites this paper
• Information, Entanglement, and Emergent Social Norms: Searching for ‘Normal’

  2024cites this paper
• GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning

  2024cites this paper
• CSCL: a learning and collaboration science?

  2024cites this paper
• Individual differences in visual pattern completion predict adaptation to degraded speech.

  2024cites this paper
• Flexible Conceptual Representations

  2024cites this paper
• Indirect reciprocity with Bayesian reasoning and biases

  2024cites this paper
• Learning headache triggers through experience: A laboratory study

  2023cites this paper
• Trust Is for the Strong: How Health Status May Influence Generalized and Personalized Trust

  2023cites this paper
• Cognitive perspectives on maintaining physicians’ medical expertise: IV. Best practices and open questions in using testing to enhance learning and retention

  2023cites this paper
• How AI’s Self-Prolongation Influences People’s Perceptions of Its Autonomous Mind: The Case of U.S. Residents

  2023cites this paper
• The form of uncertainty affects selection for social learning

  2023cites this paper
• The Behavior of Information: A Reconsideration of Social Norms

  2023cites this paper
• Ecomindsponge: A Novel Perspective on Human Psychology and Behavior in the Ecosystem

  2023cites this paper
• The Neural Bases of Action-Outcome Learning in Humans

  2022cites this paper
• Causal Framework of Artificial Autonomous Agent Responsibility

  2022cites this paper
• When seeing is not believing: A mechanistic basis for predictive divergence.

  2022cites this paper
• Extending the two-component model of delusion to substance use disorder etiology and recovery

  2022cites this paper
• PMBA: A Parallel MCMC Bayesian Computing Accelerator

  2021cites this paper
• Foraging behavior in visual search: A review of theoretical and mathematical models in humans and animals

  2021cites this paper
• Exploring the affordances of Bayesian networks for modeling usable knowledge and knowledge use in teaching

  2020cites this paper
• Dopamine, Prediction Error and Beyond

  2020cites this paper
• Cognitive Science: An Introduction to the Science of the Mind

  2020cites this paper
• Chapter 7 The Impact of Financial Literacy on Cognitive Biases of Individual Investors

  2019cites this paper
• Base-rate expectations modulate the causal illusion

  2019cites this paper
• Bayesian networks for the interpretation of biological evidence

  2019cites this paper
• Human confidence judgments reflect reliability-based hierarchical integration of contextual information

  2019cites this paper
• Evidence-Based Monitoring of International Migration Flows in Europe

  2019cites this paper
• The Distinctive Role of NREM and REM Sleep in the Consolidation of Fear Memory

  2019cites this paper
• Leadership and Organization

  2019cites this paper
• Looking Ahead: Challenges and Opportunities

  2019cites this paper
• MODELING THE INFLUENCE OF CONFIDENCE IN SOCIAL CUES DURING SPEECH PERCEPTION USING GAUSSIAN MIXTURE MODELS

  2019cites this paper
• Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View

  2019cites this paper
• Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge

  2019cites this paper
• The Cognitive Science of Consciousness

  2019cites this paper
• The Prehistory of Cognitive Science

  2019cites this paper
• Bayesianism in Cognitive Science

  2019cites this paper
• Applying Dynamical Systems Theory to Model the Mind

  2019cites this paper
• Modules and Architectures

  2019cites this paper
• Object Perception and Folk Physics

  2019cites this paper
• Machine Learning: From Expert Systems to Deep Learning

  2019cites this paper
• Strategies for Brain Mapping

  2019cites this paper
• Robotics: From GOFAI to Situated Cognition and Behavior-Based Robotics

  2019cites this paper
• The Discipline Matures: Three Milestones

  2019cites this paper
• Bibliography

  2019cites this paper
• Models of Language Learning

  2019cites this paper
• Introduction

  2019cites this paper
• Neural Networks and Distributed Information Processing

  2019cites this paper
• The Turn to the Brain

  2019cites this paper
• Exploring Mindreading

  2019cites this paper
• Glossary

  2019cites this paper
• Index for Cognitive Science (3rd edition)

  2019cites this paper
• Cognitive Science

  2019cites this paper
• Physical Symbol Systems and the Language of Thought

  2019cites this paper
• Preface

  2019cites this paper
• Mindreading: Advanced Topics

  2019cites this paper
• Dealing with uncertainty in a context aware pre-embarkation prompter system to support independent living

  2018cites this paper
• Cognitive Mimetics for Designing Intelligent Technologies

  2018influential citation
• Neural Plausibility of Bayesian Inference

  2018cites this paper
• Continuous Auditing's Effectiveness as a Fraud Deterrent

  2018cites this paper
• Bayesian methods for addressing long-standing problems in associative learning: The case of PREE

  2018cites this paper
• A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions

  2018cites this paper
• Sociolinguistic Perception as Inference Under Uncertainty

  2018cites this paper
• Perceived injustice in chronic pain: an examination through the lens of predictive processing.

  2018cites this paper
• Bayesian statistical approaches to evaluating cognitive models.

  2018cites this paper
• The mind as a predictive modelling engine : generative models, structural similarity, and mental representation

  2018cites this paper
• Human confidence judgments reflect reliability-based hierarchical integration of contextual information

  2018cites this paper
• Predictive perceptual systems

  2018influential citation
• Predictive coding and thought

  2018cites this paper
• Successful structure learning from observational data.

  2018cites this paper
• The algorithmic neuroanatomy of action-outcome learning

  2017cites this paper
• A Spiking Neural Bayesian Model of Life Span Inference

  2017cites this paper
• Visual Shape Perception as Bayesian Inference of 3D Object-Centered Shape Representations

  2017cites this paper
• Trial-dependent psychometric functions accounting for perceptual learning in 2-AFC discrimination tasks.

  2017cites this paper
• Bayesian Q 2 statistical approaches to evaluate cognitive models

  2017cites this paper
• Evolution of vulnerability of communities facing repeated hazards

  2017cites this paper
• Priming production: Neural evidence for enhanced automatic semantic activity preceding language production in schizophrenia

  2017cites this paper
• Comprehensive review: Computational modelling of schizophrenia.

  2017cites this paper
• Bayesian data analysis for newcomers

  2017cites this paper
• ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission

  2016cites this paper
• Jumping to Conclusions? Passive Bayesian Learning and the Optimal Timing of Judgment

  2016cites this paper
• Speech perception as probabilistic inference under uncertainty based on social-indexical 1 knowledge 2 3

  2016cites this paper
• Separate streams or probabilistic inference? What the N400 can tell us about the comprehension of events

  2016cites this paper
• Essays on Applying Bayesian Data Analysis to Improve Evidence-based Decision-making in Education

  2016cites this paper
• A Bayesian Framework for False Belief Reasoning in Children: A Rational Integration of Theory-Theory and Simulation Theory

  2016cites this paper
• Neuroscience and education: Mind the gap

  2016cites this paper
• Updating Perceptions of (In)Justice

  2016cites this paper
• Simple Rules for Probabilistic Commonsense Reasoning

  2016cites this paper