Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Counterfactual dependency and actual causation in CP-logic and structural models: a comparison

View through CrossRef
The solution to the problem of actual causation - i.e. determining what caused an effect in a specific scenario - put forward by Halpern and Pearl recently has received a lot of attention. It forms the basis for many other approaches within the dominant tradition of counterfactual theories of causation. However, their solution runs into a number of difficulties for a certain type of examples exhibiting so-called switching causation and early preemption. We discuss these in the light of the core concept of counterfactual dependency, and offer a comparison with the recent definition of actual causation formulated in CP-logic. We argue both that for this type of examples the CP-logic definition provides better anwers, and that it does more justice to the fundamental intuitions underlying counterfactual dependency.
Title: Counterfactual dependency and actual causation in CP-logic and structural models: a comparison
Description:
The solution to the problem of actual causation - i.
e.
determining what caused an effect in a specific scenario - put forward by Halpern and Pearl recently has received a lot of attention.
It forms the basis for many other approaches within the dominant tradition of counterfactual theories of causation.
However, their solution runs into a number of difficulties for a certain type of examples exhibiting so-called switching causation and early preemption.
We discuss these in the light of the core concept of counterfactual dependency, and offer a comparison with the recent definition of actual causation formulated in CP-logic.
We argue both that for this type of examples the CP-logic definition provides better anwers, and that it does more justice to the fundamental intuitions underlying counterfactual dependency.

Related Results

Data Augmentation using Counterfactuals: Proximity vs Diversity
Data Augmentation using Counterfactuals: Proximity vs Diversity
Counterfactual explanations are gaining in popularity as a way of explaining machine learning models. Counterfactual examples are generally created to help interpret the decision o...
Downward counterfactual insights into weather extremes
Downward counterfactual insights into weather extremes
<p>There are many regions where the duration of reliable scientific observations of key weather hazard variables, such as rainfall and wind speed, is of the order of ...
The Asymmetry of Counterfactual Dependence
The Asymmetry of Counterfactual Dependence
A certain type of counterfactual is thought to be intimately related to causation, control, and explanation. The time asymmetry of these phenomena therefore plausibly arises from a...
Causation, in modern philosophy
Causation, in modern philosophy
The new science of the sixteenth and seventeenth centuries sparked intense reflection and theorizing on the nature of causation. Philosophers attempted to account for the nature of...
Counterfactual Reasoning in Children: Evidence from an Eye-Tracking Study with Turkish-Speakers
Counterfactual Reasoning in Children: Evidence from an Eye-Tracking Study with Turkish-Speakers
Previous research has produced mixed results regarding the ability of children as young as four years of age to engage in counterfactual reasoning. In this study, we employed a vis...
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
We examine counterfactual explanations for explaining the decisions made by model-based AI systems. The counterfactual approach we consider defines an explanation as a set of the s...
Back to the Present: How Not to Use Counterfactuals to Explain Causal Asymmetry
Back to the Present: How Not to Use Counterfactuals to Explain Causal Asymmetry
A plausible thought is that we should evaluate counterfactuals in the actual world by holding the present ‘fixed’; the state of the counterfactual world at the time of the antecede...
Counterfactual Shapley Values for Explaining Reinforcement Learning
Counterfactual Shapley Values for Explaining Reinforcement Learning
Abstract This paper introduces an approach based on Counterfactual Shapley Values, which enhances explainability in reinforcement learning by integrating counterfactual a...

Back to Top