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Position: Reasoning is a Learnable Rule-Based Process — arXiv:2608.12325

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.12325
License (as archived): CC0-1.0
Archived: 2026-10-19T04:17:06.809Z
SHA-256 of the archived text: e06a603b4b79eef7ca7a85c656a9c80323595b0cf7cbc4e731af9ed169555855
Stable URL of this page: https://metraipolis.com/documento/dc_ffe245de366f

How to cite

Position: Reasoning is a Learnable Rule-Based Process — arXiv:2608.12325 — arXiv (en), https://arxiv.org/abs/2608.12325 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ffe245de366f (Metraipolis archive dc_ffe245de366f, sha256 e06a603b4b79eef7ca7a85c656a9c80323595b0cf7cbc4e731af9ed169555855)

BibTeX

@misc{dcffe245de366f,
  title = {Position: Reasoning is a Learnable Rule-Based Process — arXiv:2608.12325},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.12325},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ffe245de366f; sha256 e06a603b4b79eef7ca7a85c656a9c80323595b0cf7cbc4e731af9ed169555855},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.12325. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Autonomous reasoning is among the most scientifically and economically motivating topics in AI today. Historically the purview of symbolic AI, recent advances have mainly emerged from deep probabilistic generative models. Despite immense interest and rapid progress, the generative AI community has not clearly converged on operational definitions for reasoning and often implicitly rejects the historical treatment of this topic in logic and verifiable automated reasoning. This position contends that definitional ambiguity leaves the construct validity of reasoning evaluation unverifiable, undermining quantifiable progress toward trustworthy autonomous reasoning. We also contend that this ambiguity is addressable. To that end, we provide (1) operational definitions based on a synthesis of the literature, positioning valid and sound reasoning as a learnable rule-based process; and (2) a checklist for best practices in the communication of AI reasoning research.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-14 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Computation and Language (cs.CL); Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2608.12325 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T04:13:06.507Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-08-14?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).