Causal Data Science: A General Framework for Causal Inference and Fusion
On 2 Dec, 2020 By admin 0 Comments
Causal Reasoning
Judea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI
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Judea Pearl -- The Foundations of Causal Inference
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Interview with Judea Pearl
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Explaining Away, Augmentation, and the Assumption of Independence
On 20 Nov, 2020 By admin 0 Comments
Thinking About Causation: A Causal Language with Epistemic Operators
On 18 Nov, 2020 By admin 0 Comments
October, 2020
Abstract
This paper proposes a formal framework for modeling the interaction of causal and (qualitative) epistemic reasoning. To this purpose, we extend the notion of a causal model [16, 17, 26, 11] with a representation of the epistemic state of an agent. On the side of the object language, we add operators to express knowledge and the act of observing new information. We provide a sound and complete axiomatization of the logic, and discuss the relation of this framework to causal team semantics.
Direct Causation: A New Approach to an Old Question
On 2 Nov, 2020 By admin 0 Comments
October, 2020
Abstract
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 2 Nov, 2020 By admin 0 Comments
March, 2019
The Seven Tools of Causal Inference, with Reflections on Machine Learning
By Judea Pearl
Algorithms for Causal Reasoning in Probability Trees
On 2 Nov, 2020 By admin 0 Comments
October, 2020
Abstract