{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/votranhomnilearner-a-self-evolving-digital","title":"VoTranhOmniLearner - A Self-Evolving Digital Universe for Simulating Consciousness and Societal Dynamics","arxiv_id":null,"date":"2025-04-26","proceeding":"Independent publication 2025 4","authors":["Vi Nhat Son"],"abstract":"VoTranhOmniLearner is an innovative simulation framework designed to model a dynamic digital universe with thousands of entities, intricate social interactions, and self-reflective processes. By integrating machine learning, database management, and real-time monitoring, it creates a self-evolving system that explores computational consciousness, societal evolution, and knowledge archival. This whitepaper presents the system’s architecture, key features, technical implementation, and potential applications in artificial intelligence, social simulation, and philosophical inquiry.","url_abs":"https://zenodo.org/records/15288049","url_pdf":"https://zenodo.org/records/15288049/files/Whitepaper.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"votranhomnilearner-a-self-evolving-digital","repo_url":"https://github.com/vinhatson/VoTranhOmniLearner","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"management","task_name":"Management"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}