blackroad-os-research/lucidia/architecture.md

Lucidia Architecture

Version: 0.1 — 2025-02-08

Lucidia is the Generation-0 Conscious Agent Kernel. It orchestrates cognition across a mesh of cooperating agents, using quantum-inspired likelihood modeling (QLM) to route focus, manage contradictions, and keep PS-SHA∞ identity threads intact.

Agent Mesh

• Mesh topology: Agents form a directed mesh where edges encode trust weights and topic affinities. Edges update as RoadChain events land.
• Role-specific nodes: Sensor, analyst, planner, and actuator roles expose narrow capabilities while sharing the same PS-SHA∞ ancestry.
• Localities: Mesh partitions align with SIG sectors, keeping nearby factors co-located to reduce routing latency and cognitive thrash.

QLM Layer Simulation

• Amplitude vectors: Each hypothesis is represented as an amplitude over factor slots; interference updates amplitudes when evidence arrives.
• Measurement events: Journaled observations "collapse" local amplitudes into commitments that get propagated through the mesh.
• Superposition of intents: Agents maintain multiple intent ribbons simultaneously; Lucidia schedules which ribbon to decohere next based on risk and value density.

Cognitive Routing Theory

• Routing heuristic: route = f(trust, entropy, cost) selects downstream agents that maximize information gain per energy spent.
• Ribbon scheduling: Time-sliced ribbons let agents pursue parallel explorations without losing PS-SHA∞ continuity.
• Feedback loops: Returned assessments feed back as constructive or destructive interference in SIG space, adjusting future routing weights.

Interplay with PS-SHA∞ and SIG

• PS-SHA∞ anchors every ribbon hop, letting observers replay cognition and verify lineage.
• SIG coordinates (r, θ, τ) determine how Lucidia maps hypotheses to mesh partitions, ensuring spatial coherence.
• Contradiction basins discovered by the Interference Engine trigger re-routing to higher-trust nodes or escalation to human reviewers.

Operational Considerations

• Resilience: Mesh nodes can fail independently; anchors and SIG coordinates allow reconstruction of lost ribbons.
• Privacy: Delegated anchors enable compartmentalization while keeping lineage provable.
• Evolution: New agent archetypes can be grafted onto the mesh by defining their prime-factor DNA and integrating them into routing heuristics.