Machina Pauliana: A neuro-symbolic approach to the actio pauliana in Dutch insolvency law
We present a neuro-symbolic model of Article 42 Fw.
ProofPaper ↗
Key points
- Applying a legal provision frequently requires both structured rule-based reasoning and sensitivity to open-textured terms developed in case law.
- The actio pauliana of Article 42 of the Dutch Bankruptcy Act (Faillissementswet, Fw), which allows an insolvency practitioner to avoid transactions that prejudice creditors, requires both.
- A neural routine structures a case's natural-language facts into boolean and date inputs.
- Neural subroutines resolve the open-textured terms through case-based reasoning over Dutch civil judgments, retrieved through a pipeline that filters on the requirement being resolved and expands along the procedural chain of a case.
Sources (1)
- [1]Machina Pauliana: A neuro-symbolic approach to the actio pauliana in Dutch insolvency lawarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 12:02 PM
We present a neuro-symbolic model of Article 42 Fw.
Applying a legal provision frequently requires both structured rule-based reasoning and sensitivity to open-textured terms developed in case law.
Extractive summary: sentences quoted from the sources.
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