@techreport{janz-nmrg-ontology-reconciliation-01,
    number =    {draft-janz-nmrg-ontology-reconciliation-01},
    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-ontology-reconciliation/01/},
    author =    {Christopher Janz and Henry Yu and Hesam Rahimi and Nigel Davis and Diego Lopez},
    title =     {{Automated Agent-to-Agent Ontology Reconciliation for Cognitive Network Management Systems}},
    pagetotal = 19,
    year =      2026,
    month =     jul,
    day =       6,
    abstract =  {This document describes a possible direction for inter-system communication in network management, in which two cognitive software agents establish between themselves the basis for exchanging information, without depending on a single rigid data model agreed by their implementers in advance. The agents bring relevant knowledge, can extend it through learning, can reason, and can converse in natural language. The approach is framed as a workflow in which each agent makes explicit the ontology implicit in its data model, the two agents address their differences through conversation, and a translator artefact is produced that is then used during ordinary operation. A central property is that language-model inference is consumed during the agents' conversation rather than on each subsequent message. The document situates the direction relative to adjacent work and illustrates it through three use cases drawn from network management.},
}