Integrated Knowledge Representation Project Outlines a Reusable Logic Inference Engine

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This chapter from the STATERA Library's Volume 02 on Knowledge Representation presents an integrated project for building a logic inference engine. The engine derives new knowledge from explicitly stated facts and logical rules, aiming to turn formal reasoning principles into executable operations for symbolic AI. Its architecture comprises a knowledge base, a logical expression parser, an inference controller, working memory, and a query interface, with an emphasis on correctness, transparency, modularity, and extensibility. The material covers forward and backward chaining, unification, and resolution-based refutation as core reasoning mechanisms.

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