AI platforms rely on various reasoning methods to process information and generate responses. Among them are three ‘ductives — deductive, inductive, and abductive reasoning. Each draws conclusions from facts, observations, or hypotheses in different ways.[i] While AI excels at deductive and inductive reasoning, it often struggles with abductive reasoning, a form of logical thinking involving inferences based on incomplete information. This human-like ability to draw plausible conclusions from uncertain evidence is crucial for tasks like understanding context, making creative leaps, and solving complex problems.