Skolemization in artificial intelligence is a core logic transformation that removes existential quantifiers from first-order logic using Skolem functions or constants. It plays a central role in automated reasoning, theorem proving, and symbolic AI systems.
Semantic nets in artificial intelligence help machines understand knowledge through connected concepts and relationships. They remain essential for explainable AI, enterprise reasoning, and knowledge-driven systems.
Bayes Rule in artificial intelligence helps machines update probabilities when new evidence appears. It powers spam filters, fraud detection, diagnosis systems, and explainable AI models.
Yash Singh
Yash Singh
