Multi-Agent Contention Resolution

Mechanism

The mechanism is invoked when the capability-awareness layer detects that two or more pending requests target a capability whose effective concurrency is less than the count of pending requesters. A contended capability is any substrate-bound resource whose grant to one requester precludes simultaneous grant to others within a policy-declared evaluation window: a single robotic effector, a bounded compute reservation, an exclusive write lock on a physical or logical object, an actuation channel whose duty cycle is fully subscribed, or any other resource declared as exclusive in the capability registry.

Each pending request enters the resolution function as a structured record containing the requesting agent's identifier, the requested capability's identifier, the requesting agent's declared capability tier, the request's intent-priority value, an evidence bundle attesting to the requester's observed fitness for the operation, a request timestamp, and a reference to the policy under which the request was issued. The resolution function is deterministic with respect to this input set and the active resolution policy: given identical records and an identical policy, it produces an identical winner.

Resolution proceeds in ordered passes. The first pass partitions requesters by capability tier and discards all requesters whose tier is below the highest tier present in the contention set. Tiers are declared in the capability registry and represent structural qualification for the capability rather than a soft preference: a lower-tier requester is not permitted to win a contest against a higher-tier requester regardless of any other field, because the substrate semantics for the capability require the higher tier. If a single requester remains after the tier pass, that requester wins.

The second pass operates within the surviving tier and orders requesters by intent priority. Intent priority is a structured value derived from the requester's declared intent at request time, not from a runtime heuristic. The intent priority of a request is fixed at issuance and is recorded in lineage so that the priority cannot be retroactively altered to manipulate resolution. If a single requester holds the highest intent priority, that requester wins.

The third pass operates within the surviving intent-priority class and ranks requesters by observed evidence of fitness for the operation. Evidence is a structured bundle whose admissible fields are declared in the resolution policy: recent successful completions on the same or related capability, current confidence value, capability-envelope margin against the requested operation, and any policy-declared domain-specific signal. Each field is scored under a declared rule, the scores are combined under a declared aggregation, and the highest aggregate score wins.

The fourth pass is invoked only when the prior three passes leave more than one requester. It is a structured lottery: a deterministic pseudorandom selection over the surviving set, weighted by a policy-declared weighting and seeded by a value derived from the contention set itself (typically a hash of the sorted requester identifiers, the capability identifier, and the resolution timestamp). The seed and weights are recorded in lineage so that the lottery outcome is reproducible. The lottery is structural, not implicit: it is invoked only when the prior passes have failed to produce a unique winner, and its invocation is itself an audited event.

Operating Parameters

The principal parameters of the mechanism are the capability registry, the tier definitions per capability, the intent-priority schema, the admissible evidence fields, the per-field scoring rules, the aggregation rule, the lottery weighting, the lottery seed function, and the evaluation window over which contention is detected. Each parameter is declared in the resolution policy and is independently auditable.

The evaluation window is the interval over which pending requests are considered to be in contention. A short window approximates per-instant arbitration; a longer window batches near-simultaneous requests so that small timing differences do not determine outcomes. The window length is policy-declared and may be conditioned on the capability: a millisecond-scale window for high-frequency actuation, a second-scale window for human-paced operations, a longer window for reservation-style capabilities.

Preemption parameters govern whether an in-flight grant may be revoked when a higher-tier or higher-intent-priority request arrives mid-execution. Preemption is policy-declared per capability and is off by default. When preemption is enabled, the mechanism specifies the safe-stop protocol that the displaced requester must follow and the recovery protocol that returns the capability to a state from which the new grantee may proceed. Preemption events are recorded in lineage with the same structural fields as the originating contention.

Starvation guards are policy-declared bounds that ensure a requester does not lose contention indefinitely. A requester whose pending age exceeds a policy-declared maximum receives a tier or intent-priority adjustment under a declared escalation rule. The escalation is bounded so that starvation guards cannot themselves become a vector for priority inflation. Starvation events and escalations are recorded in lineage.

Alternative Embodiments

The mechanism is capability-agnostic. In an embodied-robotics embodiment the contended capability is a single end-effector and the evidence bundle includes recent grasp-success rates and current actuator health. In a compute-orchestration embodiment the contended capability is a bounded GPU reservation and the evidence bundle includes recent job-completion latency and current memory headroom. In a multi-agent dialogue embodiment the contended capability is the conversational floor with a shared user and the evidence bundle includes the requester's confidence value and the relevance of its pending utterance to the active topic.

The lottery embodiment is substitutable. A uniform lottery treats all surviving requesters equally. A weighted lottery biases selection by a policy-declared signal such as historical fairness debt, so that requesters who have lost recent contests receive a higher selection probability without compromising the determinism of the resolution. A degenerate embodiment fixes the lottery weight on a single requester, effectively converting the fourth pass into a tiebreaker by identifier; this is auditable as a policy choice rather than an implicit FIFO.

The mechanism may be embodied centrally or distributedly. A central embodiment runs the resolution function in a single arbiter that holds the capability registry. A distributed embodiment runs the resolution function on every requester with a shared policy and a shared view of pending requests, with the determinism of the function ensuring that all participants compute the same winner. Both embodiments produce the same lineage record and are interchangeable from the audit perspective.

Composition With Other Mechanisms

Contention resolution composes with capability awareness's executability forecast. A request that wins contention but whose forecasted executability falls below the policy-declared threshold is not executed; the capability is held idle or offered to the next-ranked requester per a policy-declared fallback rule. This ensures that winning a contest does not in itself authorize execution under conditions the substrate cannot support.

The mechanism composes with confidence governance. The confidence value of each requester is one of the admissible evidence fields, and a low-confidence requester is structurally disadvantaged in the third pass. A requester whose confidence falls below the embodied-execution threshold may withdraw from contention automatically, since winning would not result in effectful execution.

Composition with biological-identity trust slopes permits intent priority to be conditioned on counterparty trust: a request issued on behalf of a low-slope counterparty enters with a discounted intent priority. This is a policy-level composition rather than a mechanism change; the resolution function continues to operate on the structured priority value as recorded.

Every contention resolution event produces a lineage record containing the contention set, the per-pass survivors, the evidence scores, the lottery seed and weights when invoked, and the winning requester. The record is sufficient to reconstruct the resolution from the active policy and to verify that the outcome was consistent with the policy at the time it was made.

Distinctions From Prior Art

Conventional resource arbitration in operating systems and distributed schedulers relies predominantly on first-in-first-out queues, priority queues with opaque tie-breaking, or heuristic schedulers whose internal state is not part of the audit surface. The mechanism described here forbids implicit FIFO: arrival time is not an admissible field in any of the four passes, and ties are broken by a structured lottery whose seed and weights are recorded.

Priority-inversion mitigations in real-time systems address a narrower problem and operate on locks rather than capabilities. They do not provide a structural framework for tier, intent priority, evidence, and lottery as ordered passes, nor do they produce a lineage record sufficient for retrospective audit. The mechanism here treats arbitration itself as a first-class, audited cognitive event rather than as a hidden scheduling concern.

Auction-based and market-based multi-agent arbitration schemes in the prior art typically resolve contests by bid value, with the bid representing a willingness-to-pay rather than a structural qualification. The mechanism here is distinguished by its separation of structural qualification (tier), declared intent (priority), and observed fitness (evidence) into ordered passes, each of which must be exhausted before the next is consulted, and by its explicit refusal to admit arrival time or unstructured bidding as resolution inputs.

Disclosure Scope

This article discloses the structural mechanism by which an agent resolves contention for shared substrate capabilities: ordered passes by tier, intent priority, and observed evidence, with structured lottery as the bounded tiebreaker, and with explicit prohibition of implicit FIFO ordering. The disclosure covers the resolution function, the structured request record, the parameter set governing each pass, the lineage record produced by resolution, and the composition of the mechanism with executability forecasting, confidence governance, and counterparty trust.

The disclosure is capability-agnostic and applies to any contended substrate resource declared as exclusive in the capability registry. It is embodiment-agnostic and applies to central and distributed arbiters alike. It is domain-agnostic and applies to embodied robotics, compute orchestration, multi-agent dialogue, and any future setting in which multiple agents compete for a resource the substrate cannot grant simultaneously.