The Counterfactual NESS Definition of Causation
Authors: Sander Beckers6210-6217
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | First, I show that our definition is in fact a formalization of Wright s famous NESS definition of causation combined with a counterfactual difference-making condition. Second, I modify our definition to offer a substantial improvement: I weaken the difference-making condition in such a way that it avoids the problematic analysis of cases of preemption. |
| Researcher Affiliation | Academia | Sander Beckers Munich Center for Mathematical Philosophy Ludwig Maximilian University, Munich |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information or links regarding open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not use or reference any datasets for training or experimentation. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental validation or dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not list any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or system-level training settings. |