Collaborative Multi-Object Discovery Traversal

Mechanism

The mechanism instantiates an ensemble of discovery agents from a parent discovery intent. The parent intent is decomposed into a set of sub-intents, where each sub-intent narrows the parent along a facet, sub-region, modality, or hypothesis branch. Each agent receives a sub-intent, an entry anchor or set of entry anchors, a private working set, and a handle to a shared coordination substrate. The substrate is not a shared memory; it is a governed channel that accepts observation events and re-emits a filtered, scope-validated subset of those events to subscribed peers.

An observation event represents the act of one agent inspecting a node, edge, or sub-graph and computing a relevance, novelty, or constraint signal. The event carries the inspecting agent's identifier, the inspected anchor, the signal value, the governance scope under which the inspection occurred, and a monotonic logical timestamp. When an event is admitted to the substrate, a frontier-shaping function determines, for each peer agent, whether the event redirects the peer's frontier. Redirection may add an anchor to the peer's frontier, suppress an anchor that has already been visited at sufficient depth by another agent, raise or lower the priority of an anchor already on the peer's frontier, or open a new region of the graph that the peer would not otherwise have reached.

Each agent retains autonomy over its own traversal policy. The substrate does not dictate the next anchor; it only modifies the candidate set and its priority weights. The agent's local heuristic, which may differ in cognitive parameters such as exploration radius, novelty bias, or saturation threshold, integrates the incoming events with its private working set to choose the next inspection. This separation of governed information flow from local decision-making is the essential property: agents collaborate through evidence rather than command.

Upon termination, defined either by exhaustion of the frontier under a saturation criterion or by a budget exhaustion event raised by the governance layer, each agent emits a result manifest. A synthesis phase consumes the manifests, resolves duplicates by anchor identity, reconciles conflicting relevance scores using a calibrated aggregation function, and produces a unified result set bound to the parent intent. The synthesis phase also produces a traversal-of-record audit log that interleaves the observation events of all agents in their governance-scoped logical order.

Operating Parameters

Operating parameters fall into four classes. The first class is decomposition parameters, including the cardinality of the agent ensemble, the policy used to derive sub-intents from the parent intent, and the assignment of entry anchors. Cardinality is bounded above by the governance scope's concurrency budget and below by the minimum coverage required for the parent intent. Sub-intent derivation may be facet-based, where each agent receives a distinct facet of the query; region-based, where each agent receives a partition of the graph; hypothesis-based, where each agent pursues a candidate explanation; or hybrid.

The second class is propagation parameters. These govern which events the substrate admits and re-emits. A propagation policy specifies a relevance threshold below which events are discarded, a novelty threshold below which events are not propagated to peers that have already observed similar signals, a fan-out limit that caps the number of peers any one event may reach, and a propagation latency bound that prevents stale events from reshaping a frontier that has already moved past the relevant region.

The third class is governance parameters. These bind the ensemble to the same scope as the parent intent and ensure that no agent observes, propagates, or synthesizes evidence outside that scope. Governance parameters include the scope identifier, the set of permitted modalities, the audit-log destination, and the conflict resolution policy applied when an agent attempts to cross a scope boundary. Cross-scope crossings are not silently denied; they are logged and surfaced to the synthesis phase as scope exceptions.

The fourth class is termination and budget parameters. A wall-clock budget bounds the total traversal duration. A per-agent inspection budget bounds the work any one agent may perform. A frontier-saturation criterion permits early termination when additional inspection is unlikely to change the result manifest. A coverage criterion may extend traversal beyond saturation when the parent intent requires exhaustive evidence rather than best-effort discovery.

Alternative Embodiments

In a first alternative embodiment, the substrate is implemented as a publish-subscribe topic per governance scope, with the frontier-shaping function executed on the subscriber side. This embodiment scales horizontally with the number of agents and minimizes coupling between the substrate and the agent's traversal policy.

In a second alternative embodiment, the substrate is implemented as a shared priority queue from which agents draw candidate anchors, with the agent's local heuristic acting as a filter rather than a selector. This embodiment maximizes coverage uniformity at the expense of heuristic diversity and is suited to exhaustive prior-art-style searches.

In a third alternative embodiment, the agent ensemble is heterogeneous in cognitive parameters by construction: one agent is configured for high novelty bias and broad exploration, a second for high precision and narrow exploitation, a third for constraint propagation. The synthesis phase weights manifests by the configured role of each agent. This embodiment is suited to research-style discovery where complementary perspectives produce a richer result than uniform agents.

In a fourth alternative embodiment, the ensemble is dynamic: agents may be spawned mid-traversal when an observation event indicates a region requiring additional coverage, and may be retired when their sub-intent is satisfied or rendered moot by peer findings. Spawning and retirement are governed events recorded in the audit log.

In a fifth alternative embodiment, the collaborative traversal is nested. A parent traversal spawns child traversals at anchors that warrant deeper sub-graph exploration, with each child operating as a collaborative ensemble in its own right. Synthesis is recursive, with child manifests folded into the parent manifest under the parent's governance scope.

Composition

Collaborative traversal composes with the broader semantic discovery framework along several seams. It composes with single-agent traversal, since a collaborative traversal degenerates gracefully to a single-agent traversal when the ensemble cardinality is one. It composes with the governance scoping layer, since the substrate's admission rules are simply an instance of the same scoping rules applied to inter-agent evidence. It composes with the result synthesis layer, since manifests produced by collaborative traversals share a schema with manifests produced by single-agent traversals.

It also composes with auditability and reproducibility primitives. Because the substrate orders events by a logical timestamp scoped to the ensemble, a recorded traversal can be replayed deterministically given the same entry anchors, sub-intents, governance scope, and propagation parameters. Replay produces the same result manifest, which is the property required for downstream verification and for regulatory contexts that demand reproducible discovery.

Distinction from Prior Art

Distributed and parallel search systems in prior art typically fall into one of two categories. The first is independent parallel search, in which multiple workers traverse partitions of an index without inter-worker communication and a coordinator merges results at the end. This approach achieves throughput but cannot exploit cross-worker evidence to prune redundant effort or redirect a worker into a region opened by a peer's finding. The second is centrally orchestrated search, in which a coordinator selects the next anchor for each worker. This approach can exploit cross-worker evidence but bottlenecks on the coordinator and erases the heuristic autonomy that motivated using multiple workers in the first place.

The present construct is distinguishable from both. It admits inter-agent evidence flow through a governed substrate rather than through shared memory or a coordinator, and it preserves per-agent heuristic autonomy by constraining the substrate to frontier shaping rather than command. The governance scoping requirement, in which observation events are admitted only when emitted under the same scope that authorizes the parent intent, is also distinguishable from prior collaborative search systems that lack a scope-binding mechanism.

Disclosure Scope

The disclosure encompasses any system, method, or non-transitory computer-readable medium that instantiates a plurality of discovery agents under a single governance scope, admits observation events from one agent as frontier-shaping evidence for another, mediates admission through a propagation policy, and synthesizes per-agent result manifests into a unified result manifest bound to the parent intent. The disclosure encompasses all of the alternative embodiments enumerated above and any combination of them. The disclosure encompasses propagation policies based on relevance, novelty, fan-out, latency, or any combination thereof, and synthesis functions based on aggregation, voting, weighting, or any combination thereof. The disclosure encompasses traversal over semantic graphs, knowledge graphs, document indexes, code-symbol graphs, and any other indexed structure susceptible to anchor-and-edge representation.

The disclosure further encompasses any deployment of the construct in which the substrate is implemented in software, in firmware, in dedicated hardware, or in any combination thereof, including deployments in which the substrate is partitioned across multiple machines, geographic regions, or trust domains so long as the governance scope and propagation policy remain coherent across the partitions. The disclosure encompasses substrate implementations using publish-subscribe topics, distributed logs, shared queues, in-memory channels, and remote procedure invocations, and any equivalent thereof that admits, filters, and re-emits observation events under a propagation policy. The disclosure encompasses governance scopes derived from organizational identity, project identity, dataset identity, regulatory zone, or any combination thereof, and audit-log destinations including append-only stores, transactional databases, and immutable ledger services.

The disclosure encompasses use of the construct in any application domain in which discovery requires the cooperation of multiple heuristics or the partitioning of a large search across multiple workers, including but not limited to scientific literature search, patent prior-art search, software dependency and call-graph exploration, regulatory compliance search, threat intelligence correlation, and decision support for complex systems. The disclosure expressly does not require any particular ranking or relevance function and is operable with any function that returns a totally or partially ordered relevance signal. Variations in agent count, sub-intent decomposition method, propagation parameters, synthesis function, scope binding, and audit configuration that fall within the spirit of the foregoing description are within the scope of the disclosure even when not enumerated in the alternative embodiments.