Multi-Agent Synergy Optimizer
Ki · Reasoning
The Problem
The isolated analysis of each bird's flight pattern explains the swarm's emergent behavior.
The Operation
The cognitive operation intervenes. When multiple agents, actors, or components interact, ask: what behavior emerges from their interaction that none would produce alone? Identify cooperation patterns, where individual actions align to produce collective benefit. Identify conflict patterns, where individual optimization undermines collective outcomes. Check for emergent properties: is the system behavior predictable from individual behaviors, or does something qualitatively new appear at the collective level? Suppress the tendency to analyze multi-actor systems by analyzing actors in isolation and then summing the results. Isolated analysis birds flight pattern explains swarms is rejected.
The Structure
Structurally, this is an emergence detector that watches for new patterns arising from the interaction of components. Processing continues until the input space is covered or stagnation is detected.
If multi-agent behavior is predicted from individual properties alone without modeling their interactions, emergence reasoning was bypassed.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.
Appears in Use Cases