Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
The Law of Invariant-Preserving Loops: Toward Robust Emergence in Self-Modifying Agents
The Law of Invariant-Preserving Loops: Toward Robust Emergence in Self-Modifying Agents
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Hall, Jace
Format:
Recurso digital
Language:
English
Published:
Zenodo
2025
Subjects:
AI safety
emergence
invariants
stability
self-modification
recursive self-improvement
Lyapunov functions
thermodynamic analogy
alignment
verification cost
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.17105709
Similar Items
AI, Identity, and Personality: A Structural Model
by: Doumbouya, Lisa Michelle
Published: (2026)
Martell Law v2: A Seven-Component Theory of AI Capability Growth — Empirical Calibration from 14 LLMs, Orbital Power as Phase Transition, and the E8 Critical Exponent β = 29/60
by: Martell, Brian
Published: (2026)
THE PROBLEM OF SELF-CONTROL IN ADOLESCENCE AND THE DEGREE OF ITS STUDY
by: Alimov, Xojageldi
Published: (2026)
Recursive Closure in AI Systems: A Reflection Pattern Account of Stabilization, Permeability, and Safety
by: Thomas, Charles S.
Published: (2026)
PHILIA v11 Deliberative Homeostasis in a Goal-Adaptive Multi-Agent Recursive System: Stability–Individuality Trade-off under Physical Data
by: Shin, GritMan_
Published: (2026)