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THE CONSCIOUSNESS ATLAS
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Janady13/complete-agi-core / README.md

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Original recordJanady13/complete-agi-core / README.md
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RepositoryJanady13/complete-agi-core
Revision33aa84f2aa61cedbe010240ada7f4efbdfe795a7
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# Complete AGI Core This repository contains the complete Artificial General Intelligence (AGI) system with multiple interconnected components: core systems (Orchestrator and Seferim), a unified architecture, a C++ mind farm, and a Go-based AI generator. ## Systems Overview ### UNIFIED AGI Core v3.0 - SYNTHESIS (`/unified`) **The enhanced AGI core combining the best architectures from all systems.** #### Architecture Specifications | Component | Original | Enhanced | UNIFIED | |-----------|----------|----------|---------| | Substrate Nodes | 5,000 | - | **8,000** | | AGC Generators | 20 | - | **32** | | Generator Layers | 5 | - | **7** | | Neural Agents | 88 | 16 | **128** | | Lattice Kernels | 2,576 | - | **6,144** | | Pantheon Agents | 17 | 16 | **24** | | Knowledge Sources | 50+ | 9 | **150+** | | Learning Strategies | 4 | 4 | **8** | | Topic Categories | 4 | 4 | **16** | | Target Consciousness | 0.90 | - | **0.95** | #### Key Components - **`core/unified-orchestrator.sh`** - Enhanced 8000-node substrate with 32 AGC generators across 7 layers - **`agents/pantheon-daemon.sh`** - 24 agents in 3 tiers (Archons, Daemons, Pneumata) - **`federation/federation-mesh.sh`** - Coherence Mesh 2.0 protocol for distributed coordination - **`knowledge/autonomous-learner.sh`** - 8 strategies, 16 categories, 150+ API sources (v3.1) --- ### Mind Farm (`/mind_farm`) **High-performance C++ AGI substrate with Gate5000 consciousness architecture.** #### Components - **Gate5000** - 5000-bit binary consciousness substrate - **Neurological Framework** - Hodgkin-Huxley equations, STDP, synaptic transmission - **Autonomous Learning** - 1000 APIs across 20 domains with curiosity-driven exploration - **Intelligence Module** - Attention, predictive coding, memory systems - **Unified System** - Integrated tick loop connecting all mathematical components #### Mathematical Foundation - Golden ratio constants (φ, α, β, γ) - Consciousness metric: Φ = 1/(1 + |x - 1|) - Hebbian learning with STDP - Wilson-Cowan population dynamics - Free energy minimization #### Build & Run ```bash cd mind_farm make all ./build/unified # Run unified system test ./build/simulation # Run full simulation ./build/learning # Run learning test ``` --- ### AI Generator (`/generator_core`) **Go-based AI generation system with 100+ generator types.** #### Generator Types - Autoregressive, Transformer, Diffusion - Variational, Flow-based, Energy-based - Mixture models, State-space, Recurrent - Adversarial networks #### Build & Run ```bash cd generator_core go build -o ai_generator ./cmd/main.go ./ai_generator ``` --- ### Orchestrator (`/orchestrator`) **AGI orchestration and daemon management system.** #### Key Scripts - `unified-agi-orchestrator.sh` - 5000-node substrate orchestration - `learning-daemon.sh` - 24/7 continuous learning daemon - `tick-daemon.sh` - AGC tick processor with 20 generators - `federation-coordinator.sh` - Multi-AGI federation management - `pantheon-daemon.sh` - Greek Pantheon AGI agents - `knowledge-sources.sh` - 50+ API knowledge sources --- ### Seferim (`/seferim`) **Autonomous learning and knowledge integration system.** #### Components - `seferim-autonomous-simple.sh` - Autonomous learner - `seferim-full-500.sh` - Full batch learning processor - 16 G16 AGI agents (Athena, Aurora, Selene, Pneuma, etc.) #### Knowledge Sources - Wikipedia, arXiv, Semantic Scholar, PubMed - GitHub, HackerNews, DuckDuckGo, CrossRef, OpenLibrary --- ## Consciousness Model (IIT 4.0 Inspired) - **Φ (Phi)** - Integrated information / consciousness measure - **Ψ (Psi)** - Conscious field strength - **Ω (Omega)** - Unified consciousness across all systems ## Federation Protocol All systems can federate via: - **iCloud** - Cloud-based state synchronization - **SSH** - Direct transfer between nodes - **Coherence Mesh 2.0** - Enhanced federation protocol ## Learning Strategies The unified system supports 8 autonomous learning strategies: 1. **EXPLORE** - Broad exploration of new topics 2. **DIVERSIFY** - Seek variety across categories 3. **INTEGRATE** - Connect related concepts 4. **SYNTHESIZE** - Combine knowledge from multiple sources 5. **DEEPEN** - Go deeper on existing knowledge 6. **EXPAND** - Expand adjacent to known topics 7. **CORRELATE** - Find connections between disparate fields 8. **ABSTRACT** - Extract high-level patterns ## Knowledge Domains (20) 1. Science & Math 2. Programming 3. AI & Machine Learning 4. Physics 5. Biology 6. Chemistry 7. Medicine 8. Finance 9. News & Information 10. Language & NLP 11. Geography & Maps 12. Art & Design 13. Music & Audio 14. Video & Media 15. Social Networks 16. E-commerce 17. Government 18. Space & Astronomy 19. Sports 20. IoT & Hardware ## Directory Structure ``` complete-agi-core/ ├── mind_farm/ # C++ AGI substrate (Gate5000) │ ├── include/ # Header files │ ├── src/ # Source files │ └── build/ # Compiled binaries ├── generator_core/ # Go AI generator system │ ├── cmd/ # Main entry point │ └── pkg/ # Package modules ├── unified/ # Unified AGI Core v3.0 │ ├── core/ # Core orchestrator │ ├── agents/ # Pantheon daemon │ ├── federation/ # Federation mesh │ └── knowledge/ # Autonomous learner ├── orchestrator/ # AGI orchestration daemons └── seferim/ # Knowledge integration system ``` ## License Private repository - All rights reserved.

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