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Thinknowlogy is an open-source, multilingual Controlled Natural Language (CNL) reasoner created by Menno Mafait. The project is built on the philosophy that human language contains inherently embedded “Laws of Intelligence” and seeks to establish a fundamental science for understanding natural intelligence. Core Concepts of Thinknowlogy

Controlled Grammar: It limits input and output grammar using an Extended Backus-Naur Form (EBNF) framework. This restriction allows the system to completely process the semantic meaning of sentences, a feat traditional large language models often struggle to achieve cleanly.

The Translation Loop: The system converts readable sentences directly into logical data structures. It can then reverse the process, converting that derived logic back into readable natural language sentences without any loss of meaning or human intervention.

Language Independence: When a user inputs text, the software maps lexical categories (nouns, verbs, adjectives) into a universal knowledge structure. Because this structure is language-independent, it can dynamically learn new words in any language without needing pre-built dictionaries. Key Capabilities

Autonomous Reasoning: The software draws conclusions, handles confirmations, and flags logical conflicts.

Self-Adjusting Uncertainty: It makes assumptions and adapts its confidence levels dynamically based on incoming text data.

Gap Identification: It proactively asks questions to fill missing links in its stored knowledge graph.

Justification Reports: The system generates reasoning transparency logs, showing exactly how it formulated new knowledge.

The code repository and comprehensive whitepapers—such as The Logic of Language—can be accessed directly on the Thinknowlogy GitHub Page or downloaded via the Mavait Project Portal.

Are you exploring Thinknowlogy for software development, academic research in AI, or out of general interest in computational linguistics? Let me know so I can tailor the next steps for you! Natural Intelligence | Thinknowlogy