A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics

Oct-2-2025, 11:58:33 GMT–Neural Information Processing Systems

Humans can reason about intuitive physics in fully or partially observed environments even after being exposed to a very limited set of observations.

evolutionary algorithm, machine learning, natural language, (20 more...)

Neural Information Processing Systems

Oct-2-2025, 11:58:33 GMT

Conferences PDF

Country:
- Europe > Netherlands
  - North Holland > Amsterdam (0.04)
- North America > United States
  - Georgia > Fulton County
    - Atlanta (0.04)
  - Massachusetts > Middlesex County
    - Cambridge (0.04)

Genre:
- Research Report (0.93)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Evolutionary Systems (0.68)
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.46)
    - Neural Networks (0.94)
    - Statistical Learning (0.93)
  - Natural Language (0.69)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.68)

Duplicate Docs Excel Report

Title
147540e129e096fa91700e9db6588354-Paper.pdf

Similar Docs Excel Report more

Title	Similarity	Source
None found