Unification’ process makes different logical expressions identical. Lifted inferences require finding substitute which can make a different expression looks identical. This process is called unification.
The process that makes different logical expressions look identical is called normalization. In the context of artificial intelligence and logic, normalization involves transforming logical expressions into a standard form so that equivalent expressions can be recognized and treated as identical. This process is crucial for various tasks in AI, such as theorem proving, automated reasoning, and knowledge representation. By normalizing logical expressions, AI systems can efficiently manipulate and reason about them, leading to more effective problem-solving and decision-making capabilities.