{"id":22805055,"url":"https://github.com/datacte/self-referential-neural-network","last_synced_at":"2025-03-30T20:29:26.624Z","repository":{"id":264030004,"uuid":"892090777","full_name":"DataCTE/Self-Referential-Neural-Network","owner":"DataCTE","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-21T15:33:11.000Z","size":23,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-05T23:42:50.630Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DataCTE.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-21T13:48:49.000Z","updated_at":"2024-11-21T15:33:15.000Z","dependencies_parsed_at":"2024-11-21T16:38:21.606Z","dependency_job_id":"dbd577b5-ccf9-4272-924e-56517140446b","html_url":"https://github.com/DataCTE/Self-Referential-Neural-Network","commit_stats":null,"previous_names":["datacte/self-referential-neural-network"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCTE%2FSelf-Referential-Neural-Network","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCTE%2FSelf-Referential-Neural-Network/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCTE%2FSelf-Referential-Neural-Network/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCTE%2FSelf-Referential-Neural-Network/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DataCTE","download_url":"https://codeload.github.com/DataCTE/Self-Referential-Neural-Network/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246378404,"owners_count":20767632,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-12T10:12:28.174Z","updated_at":"2025-03-30T20:29:26.591Z","avatar_url":"https://github.com/DataCTE.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Self-Referential Neural Network: CTMU Computational Framework\n\n**warning:** this is a work in progress and not all components are fully implemented.\n\nA Python implementation of Chris Langan's Cognitive-Theoretic Model of the Universe (CTMU), emphasizing self-referential systems, telesis, and conspansive evolution.\n\n## Overview\n\nThis framework operationalizes core CTMU principles:\n\n1. **Telesis**: Self-configuring causation via telic recursion  \n2. **Conspansive Evolution**: Reality's simultaneous expansion and contraction  \n3. **Unbound Telesis (UBT)**: Quantum aspects of reality formation  \n4. **Metaformal System**: Foundational linguistic framework  \n\n\n\n```\nSelf-Referential-Neural-Network/\n├── ctmu_core/\n│ ├── init.py\n│ ├── domains/\n│ │ ├── reality.py # Top-level reality implementation\n│ │ └── nonterminal.py # Pre-physical domain implementation\n│ ├── manifold.py # Conspansive manifold implementation\n│ ├── telesis.py # Telesis (causation) implementation\n│ ├── metaformal.py # Metaformal system implementation\n│ ├── tellers.py # Syntactic operators\n│ ├── state.py # State management\n│ └── ubt.py # Unbound Telesis implementation\n├── ctmu_ml/ # Machine Learning Framework\n│ ├── init.py\n│ ├── network.py # Self-referential neural network\n│ ├── layers.py # Telic neural layers\n│ └── optimizers.py # Telic optimization\n└── README.md\n```\n\n\n## Core Components\n\n### 1. Conspansive Manifold (`manifold.py`)\n- **Key Features**:\n  - Quantum state evolution through UBT\n  - Field evolution and coherence tracking\n  - Distributed endomorphic connections\n  - Syndiffeonesis implementation\n\n### 2. Telesis System (`telesis.py`)\n- **Implements**:\n  - Telic recursion processing\n  - State combination mechanics\n  - Utility evaluation\n  - Metaformal system integration\n\n### 3. State Management (`state.py`)\n- **Components**:\n  - `TelicState`: Models potential-actuality dynamics\n  - Evolution mechanics and coherence tracking\n  - Utility calculation\n\n### 4. Unbound Telesis (`ubt.py`)\n- **Features**:\n  - Quantum collapse mechanics\n  - Morphic transformations\n  - Constraint application\n  - Dimensional translation\n\n### 5. Reality Domain (`domains/reality.py`)\n- **Implements**:\n  - `TelosVector` evolution\n  - Inner expansion mechanics\n  - Semantic-syntactic integration\n  - Field absorption dynamics\n\n\n\n## Installation\n\nClone the repository and install the required dependencies:\n\n```bash\ngit clone https://github.com/yourusername/self-referential-neural-network.git\ncd self-referential-neural-network\npip install -r requirements.txt\n```\n\n## Contributing\n\nWe welcome contributions to enhance the framework's capabilities and explore new applications of CTMU principles. \n\n## License\n\nApache 2.0\n\n## Credits\n\nChris Langan's Cognitive-Theoretic Model of the Universe (CTMU)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatacte%2Fself-referential-neural-network","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatacte%2Fself-referential-neural-network","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatacte%2Fself-referential-neural-network/lists"}