Blackboard Architecture

Definition

Blackboard Architecture is aI system pattern where independent specialists read and write to a shared problem workspace. In defense applications, it lets perception, planning, logistics, EW, and legal modules contribute asynchronously to a common mission picture. The hard part is workspace contention, stale state, and unclear ownership of final decisions, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a natural software analogue to KhanBMS shared operational memory, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

multi-agent coordination pattern

Operational value

Lets perception, planning, logistics, EW, and legal modules contribute asynchronously to a common mission picture

Primary risk

Workspace contention, stale state, and unclear ownership of final decisions

KhanBMS role

A natural software analogue to KhanBMS shared operational memory

Related terms

• Agent Memory
  Persistent short-term and long-term context stores used by agents to remember facts, goals, actions, and lessons.
• Common Operating Picture (COP)
  Single, shared, real-time view of the battlespace across echelons and partners.
• AI Data Fabric
  Integrated data layer that connects operational, sensor, model, metadata, and governance sources for AI workflows.
• Knowledge Graph Reasoning (KGR)
  Reasoning over entities, relationships, provenance, and constraints represented as a graph.