Artificial Intelligence Programming Practice Exam 2025 - Free AI Programming Practice Questions and Study Guide

Inductive reasoning is the correct approach when using analogy to draw new conclusions. This reasoning strategy involves taking specific instances or observations and inferring a general principle or conclusion based on them. When you draw an analogy, you look at the similarities between two different situations or objects and use those similarities to infer a conclusion that applies to both.

For example, if you observe that two different species of birds both exhibit similar mating behaviors, you might use inductive reasoning to conclude that a third, unobserved species may share similar behaviors as well. In this case, the analogy helps in constructing a hypothesis or general rule based on observed patterns.

Other reasoning strategies like deductive reasoning rely on general rules to draw specific conclusions. Empirical reasoning often emphasizes experiential learning and observation, while conceptual reasoning may involve manipulating ideas and concepts rather than drawing direct conclusions from observed analogies. Inductive reasoning is uniquely suited for making broader generalizations based on observed similarities, which is why it is the most fitting choice here.