Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures.
Michael HerscheFrancesco Di StefanoThomas HofmannAbu SebastianAbbas RahimiPublished in: CoRR (2024)
Keyphrases
- learning rules
- causal networks
- probabilistic logic
- high level
- neural network
- abductive reasoning
- biologically inspired
- low level
- learning mechanisms
- artificial neural networks
- probabilistic knowledge
- probabilistic reasoning
- bayesian networks
- logic programming
- symbolic reasoning
- probabilistic model
- visual information
- knowledge base
- learning scheme
- symbolic representation
- learning algorithm
- multiscale
- boltzmann machine
- abductive logic programming
- case based reasoner
- probability theory
- generative model
- image quality
- image sequences
- computer vision
- machine learning
- data mining