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New paper argues causation definitions are indistinguishable

A new paper published on arXiv by Andreas and Günther introduces a definition of actual causation based on factual difference-making. The authors of the paper argue that this definition encompasses three previously competing types of accounts: factual difference-making, counterfactual difference-making, and regularity-based. However, the paper's analysis suggests that these distinctions are not meaningful, as the factual difference-making definition inherently includes the other two. This finding potentially undermines all seven of the authors' previously proposed accounts. AI

IMPACT This research challenges existing frameworks for understanding causation in AI, potentially impacting how AI systems reason about cause and effect.

RANK_REASON The cluster contains a research paper published on arXiv discussing theoretical concepts in artificial intelligence.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New paper argues causation definitions are indistinguishable

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sander Beckers ·

    Difference-Making without Making a Difference

    arXiv:2606.24832v1 Announce Type: new Abstract: Over a series of seven papers, Andreas & G\"unther have introduced seven definitions of actual causation and have classified them as belonging to three different, competing, types of accounts: factual difference-making, counterfactu…

  2. arXiv cs.AI TIER_1 English(EN) · Sander Beckers ·

    Difference-Making without Making a Difference

    Over a series of seven papers, Andreas & Günther have introduced seven definitions of actual causation and have classified them as belonging to three different, competing, types of accounts: factual difference-making, counterfactual difference-making, and regularity-based. I show…