SMETA Framework: Interaction–Memory Coupled Dynamics via Dual Ātman Model with Computational Simulation

This work presents a computational implementation of the SMETA framework (Space–Mass–Energy–Time–Ātman), introducing a dual-component operational model consisting of interaction (Ātman A) and memory (Ātman B). The system demonstrates how interaction generates memory, and accumulated memory regulates future evolution, forming a non-Markovian feedback system. The repository includes: • Full scientific manuscript (PDF) • Python simulation code (SMETAdumbbell. py) • Documentation (README. md) The model exhibits emergent phase behavior including clustering, stabilization, and dissolution cycles, supporting the hypothesis of memory-regulated dynamics in complex systems. This work is part of the ongoing SMETA research framework.