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This repository documents the development and theoretical foundation of a simulation framework for self-stabilizing high-dimensional vectors (HDC: High-Dimensional Concepts).
The primary objective is to design a modular architecture in which individual sub-vectors act as interpretable processing units. Each sub-vector processes specific input data, interacts with connected units, and contributes to the stabilization of the overall vector system.
The HDC system models how information is passed and transformed through connected conceptual spaces—allowing symbolic structures, raw input representations, and emergent dynamics to coexist.
This approach provides a foundation for advanced forms of semantic computation, symbolic reasoning, and adaptive knowledge systems.
This work is part of the LILY Project
For additional details, please visit: www.lilyqml.de