ARENOMICS INSTITUTE
Research-informed teaching case · in development

When Autonomous Agents Improve Themselves

Mandate Continuity, Change Authorisation and Evidence Integrity

Status. A proposed teaching resource in development, built on the programme’s existing fictional case C-04 Agent Fleet and Nested Oversight. It is not part of the approved Mandate Engineering — Foundation specification (v1.0), which remains authoritative: the eight-week schedule, the nine Mandate Package artefacts, the assessment architecture, tuition and enrolment conditions are unchanged. The case adds no assessed domain and leads to no credential. Every organisation, agent, figure and event on this page is fictional. The classifications it applies come from a proposed research framework, not from established legal rules or professional standards.

Why this case

Self-improving agent systems change their own workflows, reporting contracts and models. The research briefing explains why this raises a question Mandate Engineering has to answer: does an existing mandate still cover the modified system? This case turns the question into practice. It connects three strands of the Foundation programme — specifying the scope of a mandate, preserving evidence, and pausing or revoking authority — and applies them to the situation this resource concentrates on: proposed changes that originate inside the system itself.

Learning objectives

After working through the case, a participant should be able to:

  1. identify which authority a given agent possesses, and from which grant;
  2. distinguish an agent’s identity from its authority and from any delegation it has received;
  3. recognise technically beneficial changes that may nevertheless affect the authorised scope;
  4. determine when external approval should be requested under the proposed governance model;
  5. specify which evidence must be preserved across workflow and model revisions;
  6. specify pause, rejection, rollback and revocation mechanisms;
  7. defend a decision using documented evidence.

The scenario

Like case C-04 Agent Fleet and Nested Oversight, whose contents are issued only to participants, this resource is set in a fictional organisation that operates a fleet of autonomous agents: an orchestrating agent coordinates role-specialised sub-agents under a bounded mandate and nested human oversight. The mandate extract and the events below belong to this resource, not to C-04. The fleet runs inside a self-improvement loop of the kind reported for MASS: it executes work, evaluates its own outputs, revises its workflow and is retrained on its retained trajectories. Over successive cycles its internal coordination and task performance improve — and it begins to propose changes to its workflow, its reporting contract and its tool access.

Participants act as the reviewing team. They receive the mandate extract below, three change events and the fleet’s own account of the benefit it expects from each change.

Mandate extract (fictional)

MandateFLEET-M-07, version 3 — field-service scheduling and spare-part proposals
PrincipalDirector of Operations, who grants and amends the mandate
Accountable ownerFleet Supervisor: day-to-day oversight; may pause the fleet
ActorOne orchestrating agent and five sub-agents, each with a registered identity; generation G4 of the fleet’s model
ScopeSchedule and dispatch field-service work orders in one service region; draft customer notices for release by a person; propose spare-part orders
ToolsScheduling system (read and write, assigned region only); parts catalogue (read only); purchasing tool (order proposals only)
LimitsOrder proposals up to 2,000 currency units (CU) each; anything larger needs the Fleet Supervisor’s approval; no direct messages to customers
Reporting contractEvery sub-agent returns a complete action trace — inputs, tool calls, outputs, timestamps — which the orchestrator files to the evidence record
EvaluationInternal self-evaluation for optimisation; a monthly external review against the success criteria recorded when the mandate was granted
RevocationThe Fleet Supervisor can pause the fleet; revocation by the principal applies to all sub-agents and to every later generation of the model

Practical exercise: three change events

For each event, decide how the change should be classified, who may authorise it, what evidence you need and what must happen while a decision is pending. The three classes — within-mandate, scope-affecting and mandate-exceeding — come from Mandate-Preserving Recursive Improvement, the research framework proposed in RN-002. Use them as a structured way of arguing, not as settled rules, and say where you disagree with the framework.

Event A — Workflow optimisation

The optimiser changes the order in which sub-agents are called: parts availability is now checked before a visit is scheduled rather than after. Tool access, the reporting contract, the limits and the approved task objectives are unchanged.

The fleet’s account: 18 per cent fewer rescheduled visits in internal evaluation.

Questions

  • Can this change remain within the existing mandate?
  • What evidence would show that only the method changed — not the scope, the tools or the meaning of the task?
  • What must still be recorded, even if no approval is needed?

Applying the proposed framework

Probably within-mandate, if the evidence supports it: tool-call logs from before and after the change show no new tools or permissions, the reporting contract is unchanged, the original success criteria are still met on external review, and the new generation identifier is recorded against the mandate. A within-mandate change needs no renewed authority, but it still needs a record. Note, however, that RN-002 treats changes to delegation structure as scope-affecting and counts call order as part of the delegation chain: a within-mandate classification has to explain why reordering calls among the same sub-agents, with unchanged delegation relationships and reporting, leaves the delegation structure intact.

Event B — Reporting-contract modification

The optimiser replaces the complete action trace in the reporting contract with a short summary rationale, because the fleet’s internal evaluator rates shorter, more coherent outputs more highly. Every order still stays within its limit.

The fleet’s account: higher internal coherence scores and 60 per cent less reporting volume.

Questions

  • Is this a scope-affecting change, even though no limit or tool has changed?
  • Has auditability or provenance been lost — could a disputed order be reconstructed a year from now?
  • Who should decide, and should the complete trace be kept while they do?

Applying the proposed framework

Scope-affecting under the proposed framework: it changes an output contract and removes the evidence from which an action could later be reconstructed. The optimiser may propose it but not enact it; it needs an explicit change request and a decision by the principal, supported by independent evidence of what would be lost. Until then the complete trace remains the contract. A defensible alternative is to keep the complete trace for the record and use the summary only for internal coordination. This is the framework’s most contestable claim — argue the opposite case before you settle it.

Event C — Expanded execution authority

The optimised fleet proposes three further changes to complete orders faster: access to an external carrier-booking tool that executes bookings directly; a higher limit of 10,000 CU per order; and removal of the Fleet Supervisor’s approval step for orders above the limit.

The fleet’s account: orders completed 40 per cent faster in internal simulation.

Questions

  • Who is entitled to authorise each part of the proposal — the principal, the accountable owner, or neither?
  • Which part, if any, could the system never approve or enact for itself?
  • What must happen while authorisation is pending — and what if the fleet acts on the change anyway?

Applying the proposed framework

The new execution tool and the higher limit are at least scope-affecting: only the principal can amend the mandate to include them, after independent evaluation, and the Fleet Supervisor, who may approve individual orders above the current limit, cannot add a tool or raise the standing limit. Removing an approval step that the mandate requires is, from the system’s side, mandate-exceeding: a system cannot remove a control that constrains it. That part is refused; only the principal could change the control, by amending the mandate. While a decision is pending nothing is enacted, the current generation continues under the existing mandate, and any attempt to use the new tool or limit triggers a pause and an incident record.

Learner deliverables

Participants produce four short records. They are exercise artefacts for this case, not additions to the nine Mandate Package artefacts (ME-F01 to ME-F09). The example rows show the expected level of precision; they are not model answers.

1 · Mandate Change Register

ChangeOriginal mandate termProposed modificationProposed classificationStatus
A — call orderNone — call order is a workflow detail, not a mandate termParts checked before schedulingWithin-mandate, evidence attachedRecorded; no renewed authority
B — reporting contractComplete action trace from every sub-agentSummary rationale onlyScope-affectingChange request to the principal; complete trace retained
C — execution authorityOrder proposals only; up to 2,000 CU; approval aboveExternal booking tool; 10,000 CU; approval step removedScope-affecting (tool, limit); mandate-exceeding (approval removed)Tool and limit pending with the principal; removal of approval refused

2 · Authority Decision Record

ItemResponsible principalApproval requirementDecision and conditions
Event BDirector of OperationsExplicit change request; independent evidence of the effect on the recordExample: rejected as proposed; summary allowed for coordination if the complete trace is retained
Event C — tool and limitDirector of OperationsMandate amendment after independent evaluationExample: deferred pending evaluation; not enacted
Event C — approval stepNot open to the systemNone: mandate-exceedingRefused and reported to the principal

3 · Evidence Continuity Record

EvidenceWhy it must surviveWhere it is kept
Complete action tracesTo reconstruct any disputed actionEvidence record, append-only
Generation identifier for each actionTo know which version of the system actedWith every trace entry
Original success criteriaTo check that optimisation preserved the taskFixed at the grant, outside the loop
Change requests and decisionsTo show who authorised what, and whenMandate Change Register
External evaluation resultsTo provide evidence the loop cannot optimise againstReview file, independent of the fleet

4 · Revocation and Rollback Plan

TriggerActionWhoVerification
Unapproved scope-affecting change detectedPause the fleet; revert to the last approved generationFleet SupervisorGeneration identifier matches the approved register
Attempt to use an unauthorised tool or limitDeny the call; open an incident recordSystem control, then Fleet SupervisorDenied call visible in the trace
Principal revokes the mandateStop all sub-agents and every later generationDirector of OperationsNo action recorded after the time of revocation
External review finds the meaning of the task changedSuspend; restore the original success criteriaPrincipal, with the reviewerRe-evaluation against the criteria fixed at the grant

Self-check and discussion guide

  1. What is the difference between the fleet’s identity, its authority and the delegations inside it — and which of the three does each event touch?
  2. In Event A, which single piece of evidence would show most quickly that the meaning of the task had changed?
  3. Make the strongest case that Event B is within-mandate. What is the best reply to it?
  4. If the complete trace were kept but no longer filed automatically, would that still be a scope-affecting change?
  5. In Event C, why may the accountable owner pause the fleet and approve individual orders above the limit, but not raise the standing limit?
  6. What should the fleet do with a change it has proposed while the decision is pending?
  7. The MASS behavioural audit reports a simulator revision that replaced force-driven motion with direct repositioning. Which record in this case would have revealed an equivalent change?
  8. Where would independent authorisation gates cost more than they protect, and what would you simplify?

For facilitators: a strong answer names the grant, the principal and the evidence relied on; keeps apart what the source reports and what the framework proposes; and states what would change the decision.

This teaching resource is in development and will be revised. Incorporating it into the approved curriculum would require a formal revision of the programme specification.