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adaptive-search

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The code provides a flexible platform for studying co-evolutionary dynamics, organizational search, and strategic adaptation under varying landscape structures. It is intended for researchers and practitioners interested in complexity theory, evolutionary modeling, and strategic management.

  • Updated Apr 29, 2025
  • Jupyter Notebook

Experimental Python runtime for validation-gated program synthesis and adaptive search: multi-level meta-learning (meta-meta loops), analogical transfer, grammar-mediated expansion, anti-cheat verifiers, sealed evaluations, rollback-sensitive self-modification. Bounded adaptive improvement, not unrestricted recursive self-improvement.

  • Updated Jul 4, 2026
  • Python

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