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Vansh Khandelwal

Full Stack Web Devel... • 13h

The blackboard architecture is an AI design pattern where a central shared repository—the blackboard—lets specialized knowledge sources (KS) read, write and iteratively collaborate under a control component that schedules which KS run; an optional UI handles I/O. Workflow: data on the board triggers KS, they add insights until a solution emerges. Suited to NLP (syntax, semantics, intent/entity extraction, response), robotics (perception, planning, control) and medical diagnosis (multi-expert synthesis). Strengths: modularity, flexibility, scalability, collaboration and incremental development. Challenges: coordination overhead, integrating heterogeneous/conflicting knowledge and performance bottlenecks; careful design, standardization and caching mitigate risks. Embracing this pattern supports complex, adaptive AI solutions.

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