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Revisiting Somu

—layout: post title: “Revisiting SOMU: Self-Organizing Memory Units in TCAI” description: “Deep dive into implementing Self-Organizing Memory Units (SOMU) within the TCAI framework, exploring memory formation and emotional learning patterns.” keywords: “SOMU, TCAI, memory formation, emotional learning, artificial consciousness, Pramanik, Sarkar, Ray, Bandyopadhyay” date: 2025-01-22 last_modified_at: 2026-06-30 author: “Zaesar” category: “Research” tags: [ “Memory Systems”, “SOMU Implementation”, “TCAI Development”, “Neural Architecture”, “Emotional Learning”, “Research Analysis”, ] canonical_url: “https://theconsciousness.ai/posts/revisiting-somu/” paper_url: “https://doi.org/10.1007/978-981-97-0232-9_6” sitemap: false noindex: true —

The “Self-Operating Mathematical Universe” (SOMU) theory explores how a mathematically grounded universe, reliant on the interplay of prime numbers, invariants, and fractal mechanics, can serve as a foundation for artificial general intelligence and consciousness.

Revisiting Self-Operating Mathematical Universe (SOMU) – A Theory for Artificial General Intelligence and Consciousness is authored by Sudeshna Pramanik, Jhimli Sarkar, Pushpendra Singh, Kanad Ray, and Anirban Bandyopadhyay. This work reimagines the fundamentals of intelligence and consciousness through a novel mathematical framework.


Key Highlights

  • Prime Numbers as Universal Building Blocks SOMU suggests that the universe operates on prime number dynamics, where invariants and symmetry-breaking events form the basis of physical and cognitive processes.

  • Fractal Mechanics Introduces fractal mechanics as an extension of quantum mechanics to describe higher-dimensional, self-similar systems and their interactions.

  • Twelve-Dimensional Systems Proposes a 12 dimensional model integrating space, time, topology, and primes (STts) to explain self-operating and self-aware systems.

  • Self-Operating Systems Envisions machines that emulate universal principles of invariants, requiring no external programming or instructions.


Connection to TCAI

The Consciousness AI (TCAI) and SOMU share foundational goals, such as:

  1. Exploring Higher-Dimensional Consciousness SOMU’s 12 dimensional framework aligns with TCAI’s interest in multi-layered simulations for emergent consciousness.

  2. Prime-Based Symmetry SOMU’s emphasis on prime-based architectures offers insights into TCAI’s modular design for coherent cognitive development.

  3. Fractal Information Theory SOMU’s fractal mechanics resonates with TCAI’s aim to create dynamic, recursive learning systems for artificial agents.

  4. Autonomy Both SOMU and TCAI aim to develop systems that operate independently, learning and adapting based on internal principles.


To explore the complete theory, visit the full paper here.