arXiv Artificial Intelligence

S-AI-Recursive: Convergent Recursive Reasoning

17 days ago 24.08.2026 07:00 👁 2 views
S-AI-Recursive: Convergent Recursive Reasoning

Quick summary

arXiv:2605.13872v2 Announce Type: replace-cross Abstract: This article introduces S-AI-Recursive, a bio-inspired Sparse Artificial Intelligence architecture in which reasoning is implemented as a hormonally regulated closed-loop iteration rather than a single feed-forward pass. The Recursive Reasoning Cycle (RRC) is governed by two recursive hormones: Clarifine, a convergence signal, and Confusionin, a residual-uncertainty signal. Their antagonistic interaction regulates state refinement, stopping, resource allocation, and recursive-engram retrieval. The revised framework distinguishes hormona

Key takeaways

  • arXiv:2605.13872v2 Announce Type: replace-cross Abstract: This article introduces S-AI-Recursive, a bio-inspired Sparse Artificial Intelligence architecture in which reasoning is implemented as a hormonally regulated closed-loop iteration rather than a single feed-forward pass.
  • The Recursive Reasoning Cycle (RRC) is governed by two recursive hormones: Clarifine, a convergence signal, and Confusionin, a residual-uncertainty signal.
  • Their antagonistic interaction regulates state refinement, stopping, resource allocation, and recursive-engram retrieval.

Why it matters

“S-AI-Recursive: Convergent Recursive Reasoning” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗