Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [causation]

For questions related to causation (or causality), which is the field that studies the relationship between cause and effect, where the cause is partly responsible for the effect and the effect is partly dependent on the cause.

For more details, see, for example, An Introduction to Causal Inference (2010) Judea Pearl, Causal inference in statistics: An overview (2009) by Judea Pearl or Probabilistic Causation at Stanford Encyclopedia of Philosophy.

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Why isn't conditional probability sufficient to describe causality?

I read these comments from Judea Pearl saying we don't have causality, physical equations are symmetric, etc. But the conditional probability is clearly not symmetric and captures directed relationships. How would Pearl respond to someone saying…
user3180
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Why should we study causation in artificial intelligence?

Judea Pearl won the 2011 Turing Award For fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning. He is credited with the invention of Bayesian networks and a framework for…
nbro
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Do we need as much information to know if we can can answer a question as we need to actually answer the question?

I am reading The Book of Why: The New Science of Cause and Effect by Judea Pearl, and in page 12 I see the following diagram. The box on the right side of box 5 "Can the query be answered?" is located before box 6 and box 9 which are the processes…
Lerner Zhang
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Required background for thorough understanding of Causal ML research papers?

I'm interested in pursuing research in the intersection of causal inference and machine learning, particularly on causal discovery and causal representation learning. Through my exploration so far, I have found study of the following books is…
Harsh Shrivastava
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How do I poison an SVM with manifold regularization?

I'm working on Adversarial Machine Learning, and have read multiple papers on this topic, some of them are mentioned as follows: Poisoning Attacks on SVMs: https://arxiv.org/pdf/1206.6389.pdf Adversarial Label Flips on Support Vector…
boomselector
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Models to extract Causal Relationship between entities in a document using Natural Language Processing techniques

I am looking to extract causal relations between entities like Drug and Adverse Effect in a document. Are there any proven NLP or AI techniques to handle the same. Also are there ways to handle cases where the 2 entities may not necessarily…
Srikant Jayaraman
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Can attention layer's weight be used as adjacency matrix?

Based on this feature dependencies problem. $G_{x,y,z}$ is rank-3 tensor where: $x$: Num of samples. $y$: Num of features. $z$: Num of embedding dimensions. If I train a simple attention layer architecture where the input and output to feed are…
Muhammad Ikhwan Perwira
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What do we mean by "AI is correlated"?

From Wikipedia Causal AI is a technique in artificial intelligence that builds a causal model and can thereby make inferences using causality rather than just correlation. One practical use for causal AI is for organisations to explain…
quanity
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Causal Inference: Understanding the impact of an intervention

I'm trying to create a pipeline for a very common business scenerio. I want to see whats the impact of an intervention on an outcome. For example I want to know if I send a marketing email (intervention) to users, how would it impact their…
anwartheravian
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How to discover/approximate the causations/correlations between multiple time-series and related open source libraries?

I have the following time-series data with two value columns. (t: time, v1: time-series values 1, v2: time-series values 2) t | v1 | v2 ---+----+---- 1 | 1 | 0 2 | 2 | 2 3 | 3 | 4 4 | 3 | 6 5 | 3 | 6 6 | 4 | 6 7 | 5 | 8 (7…
Mehmet Kaplan
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