pith. sign in

arxiv: 1106.2652 · v1 · pith:7LPL37ZVnew · submitted 2011-06-14 · 💻 cs.AI

Actual causation and the art of modeling

classification 💻 cs.AI
keywords causalityappropriatechoiceconsiderequationsimpactmodelmodeling
0
0 comments X
read the original abstract

We look more carefully at the modeling of causality using structural equations. It is clear that the structural equations can have a major impact on the conclusions we draw about causality. In particular, the choice of variables and their values can also have a significant impact on causality. These choices are, to some extent, subjective. We consider what counts as an appropriate choice. More generally, we consider what makes a model an appropriate model, especially if we want to take defaults into account, as was argued is necessary in recent work.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Counterfactual Cause in Situation Calculus

    cs.AI 2025-01 unverdicted novelty 6.0

    The paper introduces a counterfactual notion of cause in situation calculus that generalizes to achievement causes and is compared to prior definitions by Batusov-Soutchanski and Halpern-Pearl, noting issues with disj...