On Open-Universe Causal Reasoning
July 04, 2019 Β· Declared Dead Β· π Conference on Uncertainty in Artificial Intelligence
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Duligur Ibeling, Thomas Icard
arXiv ID
1907.02170
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
12
Venue
Conference on Uncertainty in Artificial Intelligence
Last Checked
3 months ago
Abstract
We extend two kinds of causal models, structural equation models and simulation models, to infinite variable spaces. This enables a semantics for conditionals founded on a calculus of intervention, and axiomatization of causal reasoning for rich, expressive generative models -- including those in which a causal representation exists only implicitly -- in an open-universe setting. Further, we show that under suitable restrictions the two kinds of models are equivalent, perhaps surprisingly as their axiomatizations differ substantially in the general case. We give a series of complete axiomatizations in which the open-universe nature of the setting is seen to be essential.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Artificial Intelligence
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
R.I.P.
π»
Ghosted
Addressing Function Approximation Error in Actor-Critic Methods
R.I.P.
π»
Ghosted
Explanation in Artificial Intelligence: Insights from the Social Sciences
R.I.P.
π»
Ghosted
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
R.I.P.
π»
Ghosted
Complex Embeddings for Simple Link Prediction
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Language Models are Few-Shot Learners
R.I.P.
π»
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
π»
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
π»
Ghosted