Reasoning Operational Decisions for Robots via Time Series Causal Inference.
Yu CaoBoyang LiQian LiAdam A. StokesDavid M. IngramAristides E. KiprakisPublished in: ICRA (2021)
Keyphrases
- causal inference
- abductive reasoning
- operational decisions
- rare events
- additive noise
- nonmonotonic reasoning
- reasoning tasks
- causal models
- discrete data
- knowledge base
- knowledge representation
- automated reasoning
- probabilistic logic
- probabilistic reasoning
- fraud detection
- importance sampling
- inference rules
- non stationary
- logic programs
- distributed data
- default reasoning
- natural language understanding
- maximum likelihood
- description logics