Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm
Multi-agent frameworks built on large language models (LLMs) routinely entangle three logically distinct concerns: who is on the team (organization), how members align (coordination), and which algorithm fuses their work (collaboration protocol). IMACS (Intelligent Multi-Agent Collaboration System) separates the three into orthogonal, independently swappable layers. Classic organizational theory (Belbin roles, Mintzberg coordination, RACI accountability) becomes executable, validated configurati
Record details
Published: 28 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 29 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.
Separating Capability from Permission: A Governance Framework for Agentic AI Autonomy Levels
arXiv cs.CY · 28 July 2026
Accountable yet Anonymous AI Agents - Split-Knowledge Binding in National Agent-Identity Layer in China
arXiv cs.CY · 28 July 2026
SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems
arXiv red teaming query · 28 July 2026
SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems
arXiv red teaming query · 28 July 2026
UrbanTrace: LLM-Assisted Discovery and Semantics-Aware Integration of Spatial Data
arXiv cs.HC · 27 July 2026
Do Latent Channels Actually Communicate? A Causal Audit of Latent Multi-Agent LLM
arXiv cs.AI · 29 July 2026
How to cite this record
ethics.ai (28 July 2026), “Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm,” evidence record 14151, https://ethics.ai/record/14151 (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.