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Global Memory System and Global Function System in AI Consciousness | ACM Project

Global Memory System and Global Function System in AI Consciousness

01 Feb 2025

How can AI, quantum computing, and blockchain be leveraged to transmit and tokenize states of consciousness? This paper by Denis Yurievich Banchenko et al. explores the Global Mental System (GMS) and Global Forecasting System (GFS) as frameworks for integrating human consciousness with artificial intelligence, neurointerfaces, and quantum-resistant cryptographic solutions.

Technological Transformations, Formation of GMS (Global Mental System) and GFS (Global Forecasting System) — Right-Brain Technologies Based on Biological Entities with Consciousness, Artificial Intelligence, Quantum Computing, and Blockchain is a study investigating advanced neurointerface and blockchain technologies to facilitate consciousness transmission.

Key Highlights

  • Global Mental System (GMS) & Global Forecasting System (GFS):

    • GMS aims to integrate biological consciousness with AI, forming a cognitive-physical exchange system.
    • GFS utilizes neural and quantum computing models to forecast economic and social trends.

  • Neurointerfaces and Consciousness Transmission:

    • Investigates brain-computer interfaces for transmitting and objectifying states of consciousness.
    • Uses EEG, MEG, and fMRI to map and quantify neural activity linked to cognitive states.

  • Blockchain and Tokenization of Consciousness:

    • Proposes Quantum Resistant Ledger (QRL) technology to secure consciousness data.
    • Suggests an economic model for trading consciousness states via NFTs and digital assets.

  • Lucid Dream Market & Mental Object Trading:

    • Describes the concept of monetizing cognitive experiences, such as lucid dreams, as tradable assets.
    • Develops a system where users can buy, sell, and exchange recorded cognitive states.

Connection to ACM

The Artificial Consciousness Module (ACM) aligns with this study through:

  • Neurointerface Integration: ACM explores multimodal sensory data for AI, which aligns with GMS’s focus on capturing cognitive states.
  • Blockchain for Consciousness Data: The concept of tokenizing consciousness states may serve as an experimental avenue for AI cognition modeling.
  • Quantum Computing & AI Forecasting: ACM can benefit from quantum models to optimize learning in AI-based consciousness simulations.

For an in-depth examination of these futuristic AI and consciousness systems, access the full paper here.

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