Reasoning Operational Decisions for Robots via Time Series Causal Inference.

Yu Cao Boyang Li Qian Li Adam A. Stokes David M. Ingram Aristides E. Kiprakis

Published 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