Mechanism
Conflict resolution is a function of the executive engine, a substrate module that operates at a scope above individual agents. When multiple agents operate within a shared operational scope, such as a zone, a delegation hierarchy, or a multi-agent coordination group, the executive engine aggregates their individual planning graphs into a unified executive graph. The executive graph is not a simple union of the agent-level graphs: it is a synthesized structure that identifies inter-agent dependencies, resource contention points, scheduling constraints, and cooperative opportunities that are not visible from any single agent's planning perspective.
Conflict resolution begins when the executive engine identifies branch intersections, which are pairs or groups of planning graph branches from different agents that reference the same environmental resources, target the same delegation endpoints, or project outcomes that depend on the actions of other agents. Where intersecting branches make conflicting demands on shared resources, project contradictory environmental outcomes, or require mutually exclusive execution sequences, the executive engine initiates a conflict resolution protocol. The spec is explicit that this protocol is a structured, deterministic process governed by policy-defined arbitration rules, not an ad-hoc negotiation or a priority-based preemption.
The Aggregation Pipeline
The executive engine constructs the executive graph through a defined aggregation process. First, it collects the current planning graphs from all agents within its scope, reading for each agent the active branches and their classification labels, affective reinforcement tags, slope projections, and policy compatibility flags. Second, it identifies the branch intersections that indicate where agents' plans interact and where coordination, conflict resolution, or resource arbitration is required. Third, it constructs executive graph nodes representing the coordinated state transitions required for branch intersections, specifying the sequence, timing, and resource allocation that would let multiple agents' plans proceed without conflict. Fourth, it evaluates the executive graph for global consistency, verifying that the coordinated plan does not produce trust slope violations at the zone level, does not exceed aggregate resource budgets, and does not violate zone-level policy constraints.
As depicted in FIG. 4F, this pipeline runs three agent-level planning graphs into an intersection detection module, which feeds a conflict resolution module, which in turn produces the macro executive graph: the reconciled multi-agent plan. The executive graph maintains its own containment layer, structurally separate from the containment layers of the individual agents' planning graphs, so that zone-level speculative coordination does not contaminate zone-level verified state.
The Resolution Protocol
The conflict resolution protocol comprises three phases. The first is overlap detection: the executive engine identifies the specific dimensions of conflict and classifies them by type. The disclosed types are resource contention, where multiple branches require the same finite resource at the same time; outcome contradiction, where branches project mutually exclusive environmental states; sequencing incompatibility, where branches require execution orders that cannot be simultaneously satisfied; and delegation collision, where branches target the same delegation endpoint with incompatible requests.
The second phase is compatibility assessment. For each identified conflict, the executive engine evaluates whether the conflict can be resolved through branch modification, that is, by adjusting the timing, resource allocation, or execution sequence of one or more conflicting branches to eliminate the conflict without changing the branches' projected outcomes. Compatibility assessment produces one of three results: the conflict is resolvable through modification, the conflict requires one or more branches to be suppressed or rerouted, or the conflict is irreconcilable and requires escalation to governance authorities.
The third phase is arbitration, invoked when a conflict cannot be resolved through modification. The executive engine arbitrates by selecting which branch or branches take precedence.
The Arbitration Criteria
Arbitration evaluates the conflicting branches using the three-criteria priority ordering that the executive engine applies generally to planning graphs. Slope compatibility is evaluated first: branch combinations that maintain trust slope continuity at both the agent level and the zone level are preferred over combinations that maintain agent-level continuity but produce zone-level discontinuity. Emotional reinforcement alignment is evaluated second: combinations that produce positive affective reinforcement for the majority of participating agents are preferred over combinations that reinforce some agents but produce negative reinforcement for others, subject to policy-defined minimum participation thresholds. Personality profile alignment is evaluated third: combinations consistent with each participating agent's personality field, including risk tolerance, delegation preference, and temporal planning horizon, are preferred over combinations that require agents to operate outside their personality-defined operating ranges.
Arbitration additionally considers three further factors named in the spec: the integrity impact of each branch, where branches with positive integrity impact are preferred over branches with negative integrity impact; the hierarchical position of each agent in the delegation hierarchy, where branches from agents with higher governance authority receive precedence subject to policy constraints; and the global impact assessment, where branches whose execution benefits a larger proportion of the agent population are preferred over branches that benefit fewer agents.
Emotional Quorum Override
The executive engine supports an emotional quorum override mechanism as a tiebreaker. When a conflict involves branches from multiple agents and the standard arbitration criteria produce an inconclusive result, for example when the conflicting branches have equivalent slope compatibility, equivalent integrity impact, and equivalent hierarchical authority, the executive engine evaluates the collective affective state of the affected agent population. If a supermajority of affected agents, as defined by the policy-specified quorum threshold, exhibit strong positive affective reinforcement toward one of the conflicting branches, the emotional quorum overrides the inconclusive standard arbitration and promotes the branch favored by the emotional majority.
The spec is careful to frame this as bounded by governance: the emotional quorum override is not an override of governance, it is a tiebreaker mechanism that operates within governance constraints and applies only when standard arbitration criteria are insufficient to resolve the conflict.
Personality-Driven Suppression and Rerouting
The executive engine further supports personality-driven planning suppression or rerouting as a conflict resolution mechanism. When a conflict involves a branch from an agent whose personality field indicates low conflict tolerance or high fallback rigidity, the executive engine may reroute the conflicting branch, replacing it with an alternative branch from the same agent's planning graph that avoids the conflict, rather than suppressing it entirely. This personality-aware resolution preserves the planning autonomy of agents whose personality configurations make them structurally averse to having their plans overridden.
Deployment Variants
The conflict resolution function is disclosed across multiple deployment models. In a federated deployment, the forecasting engines operate at individual agent nodes while the executive engine operates at zone-level aggregation nodes; the executive engine collects planning graph summaries, not full planning graph structures, from each agent for aggregation and conflict resolution. This model suits environments with geographically distributed agents, variable network connectivity, or data sovereignty requirements that restrict the sharing of speculative content across organizational boundaries.
In a decentralized deployment, both the forecasting engines and the executive engines operate at individual agent nodes, with executive graph construction performed through peer-to-peer coordination rather than zone-level aggregation. This eliminates the zone-level executive engine as a centralized coordination point and distributes the aggregation and conflict resolution functions across the agent population through consensus-based protocols, suiting environments with no centralized authority, such as multi-stakeholder collaboration scenarios or adversarial environments where no single node is trusted to perform unbiased aggregation.
Coordination Without Central Scheduling
The disclosed approach replaces centralized scheduling with forecasting-driven branch promotion. Each agent constructs its own planning graph based on its own state, intent, and capabilities, and evaluates its own branches through its own forecasting execution cycle. When multiple agents share a scope, the executive engine aggregates their planning graphs and identifies the branch intersections that require coordination. Coordination emerges from the alignment and conflict resolution of independently generated plans rather than from a central authority that imposes plans from above. An agent begins executing a task not because a scheduler assigned it, but because the agent's own forecasting engine generated a branch representing the task, the branch was evaluated as eligible, and the branch was promoted through the governance-validated promotion interface. The executive engine's role is to ensure that independently promoted branches across multiple agents do not conflict, not to determine which branches should be promoted.
Disclosure Scope
The executive graph conflict resolution and arbitration mechanism, comprising the aggregation of agent-level planning graphs into a macro executive graph, the detection and classification of branch intersections by overlap type, the compatibility assessment producing resolution through modification, suppression or rerouting, or escalation, the arbitration of irreconcilable conflicts by the three-criteria priority ordering together with integrity impact, hierarchical authority, and global impact, the emotional quorum override as a governance-bounded tiebreaker, and personality-driven suppression or rerouting, is disclosed in the cognition filing (U.S. Application No. 19/647,395 and its international counterpart) at Sections 4.10 and 4.11. This article describes that disclosed mechanism. The scope extends to federated and decentralized deployments in which the executive engine operates over planning graph summaries or through peer-to-peer consensus, and is independent of the specific policy-defined arbitration rules, quorum thresholds, and resource budgets elected by a given deployment.
