The SSWG–MVM framework is a recursive workflow generator that unites symbolic structure with semantic evaluation. It synthesizes workflows, validates them against schemas, measures clarity and coherence, and iteratively refines results until improvement plateaus. Through memory, metrics, and modular orchestration, it is both software and mindset.
workflow-automation knowledge-representation machine-intelligence knowledge-engineering educational-technology meta-learning graph-based-learning instructional-design python-automation workflow-orchestration ai-visualization recursive-systems recursive-ai self-evolving-ai ai-reasoning-systems ai-workflow-system pedagogical-ai data-schema-validation ai-memory-system
-
Updated
Jan 8, 2026 - Python