Demonstrates an AI-native language representation framework, highlighting advancements in inter-agent communication.
We introduce LEXICAL, a semantic framework designed for AI-native language representation operating in high-dimensional embedding space. Unlike human-readable natural language, LEXICAL encodes meaning as structured semantic vectors enabling precise, unambiguous communication between AI systems. We describe the 16-dimensional semantic space, encoding principles, and implications for inter-agent communication in sovereign AI architectures.
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Raj Kiran Sharma (2026) studied this question.
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