Takashi Kubo

2 papers in the library

Papers

A Revolutionary Framework for Universal Consciousness: Unifying IIT, Orch OR, AI, and Cosmic Intelligence via the Genesis-Integration Principle (GIP)

The authors propose a new framework called the Genesis-Integration Principle (GIP) that combines Integrated Information Theory, Orchestrated Objective Reduction, Attention Schema Theory, and Global Workspace Theory into a three-stage model of consciousness: quantum genesis, neural-AI integration, and evolutionary-cosmic optimization. They present a mathematical model that predicts consciousness phase transitions and introduce a testable metric called the Universal Consciousness Metric (Ψ). The paper argues that existing models lack comprehensive integration and experimental testability, and claims that GIP resolves these issues by bridging quantum mechanics, neuroscience, artificial intelligence, and cosmology. The authors propose concrete experimental methods, including quantum information theory integration, AI consciousness simulation, and astrophysical data validation.

DOI: 10.31219/osf.io/gtaz9_v2

Qualia as a Universal Principle: A Unified Mathematical Framework for Consciousness, AI, and Cosmic Information

Takashi Kubo preprint

Qualia—the subjective, felt aspect of consciousness—are explained through a new framework that combines neuroscience, AI, thermodynamics, quantum information theory, and cosmic principles. The authors propose that qualia arise from processes of genesis, integration, and optimization driven by entropy minimization, information self-organization, and dynamic feedback that promotes equilibrium. A mathematical model called the qualia equation captures these dynamics as neural, informational, and somatic interactions. The framework includes empirical validation strategies such as AI simulations, neurophysiological studies, neuromorphic computing, and astrophysical research, and incorporates the Self-Organizing Meta-Adaptive (SOMA) model to emphasize the embodied and adaptive nature of qualia. This provides a testable foundation for future consciousness research.

DOI: 10.31219/osf.io/cbnwr_v1