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This invention describes a method for managing complex computer systems by representing all their information, including data and executable instructions, as a special kind of graph. In this graph, each node can contain both data and code, and users can create these nodes. The claims narrow this to "homoiconic, reflective directed acyclic graphs" where nodes have executable sets.
Why it matters: Filed before the explosion of complex AI/ML models and MLOps, this executable graph framework could now provide a robust way to manage dynamic model pipelines and agentic systems where data and logic are intertwined.
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