A reasoning engine is an AI system that mimics human-like decision-making and problem-solving capabilities based on certain rules, data, and logic. There are three types of human reasoning or inference mechanisms reasoning engines tend to emulate:
Deductive reasoning – makes an inference based on universal and generally accepted facts. For example: “All birds lay eggs. A pigeon is a bird. Therefore, pigeons lay eggs.”
Inductive reasoning — derives a conclusion from specific instances or samples. This might look like: “Every dog I meet is friendly. Therefore, all dogs are friendly!”
Abductive reasoning – makes a probable conclusion from incomplete (and often ambiguous) information, such as: “There are torn papers all over the floor and our dog was alone in the apartment. Therefore, the dog must have torn the papers.”
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