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View All on GitHubAI Summary: This issue confirms that extensive analysis, architecture documentation, and data integration for the SKIN-TWIN platform's formulation and supply chain networks are complete. The primary task is to generate detailed technical schema documentation for formulations, ingredients, products, and the hypergraph, incorporating Mermaid diagrams. This effort aims to formalize the data structures based on the already completed analytical work.
AI Summary: This GitHub issue outlines the continuation of developing a specialized 'formulation proof assistant'. The core task involves adapting the OpenCoq project to transform it into a 'cognitive proof assistant' capable of modeling multi-scale skin interactions. The ultimate objective is to configure this system for the formal verification of hypothetical ingredient effects based on these complex biological models.
AI Summary: This issue proposes to develop a "formulation proof assistant" by adapting the OpenCoq project. The goal is to transform OpenCoq into a "cognitive proof assistant" capable of formally verifying hypothetical ingredient effects through the proof of multi-scale skin model interactions. This is a highly interdisciplinary and ambitious project, combining advanced formal methods with cognitive modeling and complex biological systems.
AI Summary: This issue requests the generation of new technical schema documentation for formulations, ingredients, products, and the hypergraph, to be illustrated with Mermaid diagrams. It emphasizes that all necessary analysis, existing hypergraph architecture documentation, and data are already complete and available, providing comprehensive technical insights for the task.
AI Summary: This issue requests an analysis of a hypergraph, defined by four provided CSV files, to generate comprehensive technical architecture documentation. The documentation must include Mermaid diagrams to visualize the hypergraph's structure and relationships within the 'vessels/examples' context.