This invention describes a system that uses artificial intelligence to translate a real-world process into a virtual environment. It works by first understanding the real-world process's structure (its "ontology") and then using machine learning, including techniques like natural language processing and transfer learning, to build a corresponding structure for the virtual world. The system refines this virtual world structure using a blend of AI methods. The claims specifically narrow the second environment to a virtual one.
Why it matters: Filed in 2023, this invention predates the widespread and more accessible advanced capabilities of large language models (LLMs) and generative AI. These newer models could significantly streamline the ontology generation, embedding, and refinement steps, making the complex AI/ML software development more efficient and effective than previously possible.
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