Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi.
Francesco DonnarummaDomenico MaistoGiovanni PezzuloPublished in: PLoS Comput. Biol. (2016)
Keyphrases
- probabilistic inference
- graphical models
- approximate inference
- bayesian networks
- weighted model counting
- context specific independence
- probabilistic reasoning
- message passing
- conditional probabilities
- influence diagrams
- belief networks
- efficient inference
- variable elimination
- bucket elimination
- bayesian belief networks
- exact inference
- feature vectors
- belief propagation
- random variables
- junction tree
- artificial neural networks
- image segmentation
- machine learning
- data sets