BU72 AAI-04|BU37 × Agentic Closure Lineages From Capability Closures to Sustainable Evolution

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Abstract

This paper develops BU72 AAI-04|BU37 × Agentic Closure Lineages as the fourth file in the B_U-based Agentic AI series. Its central claim is that Agentic AI should not be evaluated merely by the number of agents, tools, workflows, or autonomy levels it can assemble. The decisive transition is from capability modules to sustainable closure lineages. A capable agent can run; a closure lineage can be retained, reweighted, recomposed, pruned, and evolved under real selection pressure. The paper connects BU37’s evolution classification matrix with the five core capability closures introduced in the Agentic AI series: Readout, Actuation, Constraint, Stability, and Learning. Each closure is reclassified as a small…

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Topics & keywords

Keywords
  • Closure (psychology)
  • Agency (philosophy)
  • Core (optical fiber)
  • Selection (genetic algorithm)
  • Autonomy
  • Evolvability
  • Constraint (computer-aided design)
  • Stability (learning theory)
UN Sustainable Development Goals
  • Life in Land
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