13 citations · 18 across the 4 of their papers we have counts for
7 papers
Causal Explanations and XAI
Sander Beckers
Although standard Machine Learning models are optimized for making predictions about observations, more and more they are used for making predictions about the results of actions.…
Causal Sufficiency and Actual Causation
Sander Beckers
Pearl opened the door to formally defining actual causation using causal models. His approach rests on two strategies: first, capturing the widespread intuition that X=x causes Y=y…
The Counterfactual NESS Definition of Causation
Sander Beckers
In previous work with Joost Vennekens I proposed a definition of actual causation that is based on certain plausible principles, thereby allowing the debate on causation to shift a…
Equivalent Causal Models
Sander Beckers
The aim of this paper is to offer the first systematic exploration and definition of equivalent causal models in the context where both models are not made up of the same variables…
Approximate Causal Abstraction
Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern
Scientific models describe natural phenomena at different levels of abstraction. Abstract descriptions can provide the basis for interventions on the system and explanation of obse…
Abstracting Causal Models
Sander Beckers, Joseph Y. Halpern
We consider a sequence of successively more restrictive definitions of abstraction for causal models, starting with a notion introduced by Rubenstein et al. (2017) called exact tra…