LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans
AI agents are evolving from answer engines into persistent teams that use tools, delegate work, learn from experience, and modify the artifacts that shape their future behavior. The defining question for deployment is no longer merely what agents can do, but who controls what they are allowed to become. We introduce logos, a pluggable layer for self-evolution and governance that strengthens existing multiagent frameworks rather than replacing them. logos compiles heterogeneous multimodal inputs,
Record details
Published: 12 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models
HuggingFace Daily Papers · 12 July 2026
See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models
arXiv cs.AI · 13 July 2026
A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
arXiv · 13 July 2026
Operationalising Multi-Dimensional Evaluation for Conversational Agents: A Scalable, Governed Pipeline with Selective Re-evaluation and Model Benchmarking
arXiv · 13 July 2026
Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems
arXiv cs.CY · 14 July 2026
Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
arXiv · 14 July 2026
How to cite this record
ethics.ai (12 July 2026), “LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans,” evidence record 28, https://ethics.ai/record/28 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.