@techreport{janz-nmrg-inter-agent-conflict-resolution-00,
    number =    {draft-janz-nmrg-inter-agent-conflict-resolution-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-janz-nmrg-inter-agent-conflict-resolution/00/},
    author =    {Christopher Janz and Fernando Camacho and Lauri Lovén and Per Kangru},
    title =     {{Sources of Inter-Agent Conflicts and Approaches to Conflict Resolution in Network Management}},
    pagetotal = 21,
    year =      2026,
    month =     jun,
    day =       10,
    abstract =  {Network management is increasingly carried out by autonomous, AI- driven agents that observe and act on the network and service state they share. Where their scopes overlap - the same managed entities, resources, or objectives - their independent decisions can prove mutually inconsistent, and such inter-agent conflict is, at bottom, coordination that has not been put in place; the two are best studied together. This document maps the problem for network management: where inter-agent conflict comes from, which families of mechanism resolve it, and how those mechanisms are chosen and combined. It then turns that map on a case of current interest in the IETF - the AI-based Network Management Agent (NMA) architecture - and offers six recommendations for strengthening how that architecture handles inter-agent conflict at its Agent-to-Agent interface.},
}