Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Probabilistic models of cognition: conceptual foundations.

Nick Chater, Joshua B Tenenbaum, Alan Yuille

    Trends in Cognitive Sciences
    |June 30, 2006
    PubMed
    Summary

    Sophisticated probabilistic models, rooted in math and computer science, are revolutionizing cognitive science. This field offers a unifying framework for understanding complex relational systems like graphs and grammars.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    People use fast and flat simulation to reason about new games.

    Nature·2026
    Same author

    ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.

    Advances in neural information processing systems·2026
    Same author

    CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

    Proceedings. IEEE International Conference on Computer Vision·2026
    Same author

    Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data.

    Machine intelligence research (Beijing)·2026
    Same author

    Evidence from formal logical reasoning reveals that the language of thought is not natural language.

    Proceedings of the National Academy of Sciences of the United States of America·2026
    Same author

    Agreements and disagreements with resource-rational contractualism.

    The Behavioral and brain sciences·2026

    Area of Science:

    • Cognitive Science
    • Computer Science
    • Mathematics

    Background:

    • Advancements in probabilistic modeling are transforming the scope of analysis.
    • Sophisticated probabilistic methods are applicable to structured relational systems, including graphs and grammars.
    • These methods have direct relevance to cognitive science research.

    Discussion:

    • This Special Issue highlights progress in a rapidly evolving field.
    • The approach offers a potentially unifying perspective across diverse domains and explanatory levels.
    • Foundations, conceptual underpinnings, and current status of the field are introduced.

    Key Insights:

    • Probabilistic methods provide powerful tools for analyzing complex systems.
    • The integration of probability theory enhances understanding in cognitive sciences.
    • Structured relational systems benefit from advanced probabilistic approaches.

    Outlook:

    • The field is rapidly developing, offering new avenues for research.
    • A unifying perspective across disciplines is emerging.
    • Future work will likely expand the application of these methods in cognitive science.

    Related Experiment Videos