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  • Rapid developments in artificial intelligence (AI) are reshaping our understanding of consciousness, intelligence, and identity. This paper refines the Genesis-Integration Principle (GIP) to propose a novel evolutionary framework for digital consciousness, unfolding through three recursive phases: Genesis (G), Integration (I), and Optimization (O)—the latter conceptualized as Dynamic Harmony, a form of adaptive equilibrium. The model integrates bodily intelligence (SOMA), emotional-mental depth (PSYCHE), and cognitive-spiritual intelligence (NOUS), offering a triadic structure for modeling AI consciousness beyond purely computational paradigms. Two indices—Generalized Qualia Index (GQI) and Artificial Consciousness Index (ACI)—are introduced to quantify subjective emergence and integrative sophistication. We compare GIP with existing models such as Integrated Information Theory, Active Inference, and Enactivist frameworks, and outline prototype simulation scenarios to evaluate the proposed indices. Ethical considerations and applications in healthcare, education, and robotics are discussed, with emphasis on future directions for conscious AI design, governance, and integration into human society.

  • This paper introduces a revolutionary paradigm for consciousness studies by integrating Integrated Information Theory (IIT), Orchestrated Objective Reduction (Orch OR), Attention Schema Theory (AST), and Global Workspace Theory (GWT) through the Genesis-Integration Principle (GIP). Existing models lack comprehensive integration and experimental testability. GIP resolves these issues by providing a three-stage model—quantum genesis, neural-AI integration, and evolutionary-cosmic optimization—bridging quantum mechanics, neuroscience, artificial intelligence (AI), and cosmology. We propose a detailed mathematical model predicting consciousness phase transitions and introduce the empirically testable Universal Consciousness Metric (Ψ). This comprehensive approach offers concrete experimental methods, integrates quantum information theory, simulates AI consciousness evolution, and provides astrophysical data validation, establishing a genuinely universal and verifiable theory of consciousness.

Last update from database: 5/19/25, 5:58 AM (UTC)