mindas-dcs/dcs-causal-structure-evolution
DCS: Causal Structure Evolution Theory A cross-scale causal research framework explaining 13.8 billion years of hierarchical emergence, from physics to life, brains, minds, civilization, and AI. Core Thesis Intelligence is the capacity for a not-yet-existing future to participate in the present. DCS proposes that every major evolutionary transition shares a common causal pattern: possibility expansion, dynamical filtering, structural stabilization, and recursive… See the full description on the dataset page: https://huggingface.co/datasets/mindas-dcs/dcs-causal-structure-evolution.
DCS: Causal Structure Evolution Theory
A cross-scale causal research framework explaining 13.8 billion years of hierarchical emergence, from physics to life, brains, minds, civilization, and AI.
Core Thesis
Intelligence is the capacity for a not-yet-existing future to participate in the present.
DCS proposes that every major evolutionary transition shares a common causal pattern: possibility expansion, dynamical filtering, structural stabilization, and recursive re-entry.
Launch Event
Date: September 16, 2026 Theme: In Search of the First Principles of Evolution Presenter: Rongjie Wei, MINDAS (Shenzhen OPC)
Paper Links
Zenodo: https://zenodo.org/records/22709952 DOI: 10.5281/zenodo.22709952 Figshare: https://figshare.com/articles/preprint/ATypedCertificationProtocolforFiniteStateCausalAbstractions/33519052 ORCID: https://orcid.org/0009-0002-0501-5570 Academia.edu: https://www.academia.edu/175363192/
Contact
Mr. Wei: +86 18826562299 Email: contact@mindas.me Website: mindas.me
Note: This research was conducted with AI assistance. Criticism and falsification attempts are welcome.