Viridis Canon — Series S6: Cognition & Learning (v1.0.0)

Key Points

• This research aims to define the theoretical boundaries and optimal approaches for how intelligences acquire and generalize knowledge.
• Developed multiple theorems including Cognitive Throughput Theorem (CTT) and Dissipative Generalization Theorem (DGT).
• Utilized Lean 4 for machine-checking the reasoning behind each theorem.
• Version 1.0.0 establishes foundational theories within the S6 series.
• Theoretical frameworks provide structured insights into cognitive processing and learning efficiency.
• Each theorem underwent rigorous verification with Lean, ensuring reliability.
• Introduced foundational elements that may enhance future cognitive and learning models.