Related terms
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.
Abductive ReasoningARA reasoning process that infers the most likely explanation for observed facts or evidence, forming plausible hypotheses from incomplete information.
Causal ReasoningA reasoning process that identifies cause-and-effect relationships between events or variables to support prediction, explanation, and decision-making.
Chain of ThoughtCoTA reasoning technique in which an AI model generates intermediate reasoning steps before producing a final answer or decision.
Self-ConsistencySCA reasoning approach where multiple reasoning paths are sampled and the most consistent answer is selected as the final output.