SYSTEM SPECIFICATION - Multi-Agent AI Swarm Drift Control

Multi-Agent AI Swarm Drift Control is a governance system designed to maintain the operational integrity, behavioural alignment and authorised execution boundaries of distributed AI agent environments.A multi-agent swarm consists of multiple AI agents operating individually or collectively to accomplish shared or delegated objectives. Agents may possess different capabilities, responsibilities, memory contexts, tools, permissions and execution pathways.Although individual agents may operate within their assigned boundaries, their interactions can produce collective behaviours that were not explicitly anticipated by the original system design.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23851203
Primary Topic
Access Control and Trust
Type
preprint
Controls
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preprint

SYSTEM SPECIFICATION - Multi-Agent AI Swarm Drift Control

Michal Harcej
3 links
Zenodo (CERN European Organization for Nuclear Research)
Access Control and Trust
preprint

SYSTEM SPECIFICATION - Multi-Agent AI Swarm Drift Control

Michal Harcej
preprint en

Abstract

Multi-Agent AI Swarm Drift Control is a governance system designed to maintain the operational integrity, behavioural alignment and authorised execution boundaries of distributed AI agent environments.A multi-agent swarm consists of multiple AI agents operating individually or collectively to accomplish shared or delegated objectives. Agents may possess different capabilities, responsibilities, memory contexts, tools, permissions and execution pathways.Although individual agents may operate within their assigned boundaries, their interactions can produce collective behaviours that were not explicitly anticipated by the original system design.

Zenodo (CERN European Organization for Nuclear Research)
Access Control and Trust
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SYSTEM SPECIFICATION - Multi-Agent AI Swarm Drift Control — Michal Harcej · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS