Inductive Reasoning
IRAlso called: IR, Generalization, Probabilistic Reasoning
A reasoning approach in which an AI system infers general rules, patterns, or hypotheses from specific observations, examples, or experiences, producing conclusions that are probable rather than logically guaranteed.
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Related terms
A reasoning process in which an AI system derives logically necessary conclusions from general rules, facts, or premises.
Abductive ReasoningARA reasoning process that infers the most likely explanation for observed facts or evidence, forming plausible hypotheses from incomplete information.
Few-shot PromptingA prompting technique that guides a language model by including a small number of input-output examples in the prompt, helping the model infer the desired task, format, or behavior.