Nonmonotonic Formalisms

Nonmonotonic formalism refers to a type of logical reasoning where conclusions can change when new information is added. Unlike traditional logic, which only becomes more certain with more facts, nonmonotonic systems can retract or revise earlier conclusions if additional data contradicts them. This approach better models real-world reasoning, where beliefs are adjusted in light of new evidence, such as in everyday decision-making or AI systems that need to adapt dynamically rather than follow fixed rules.