what is reasoning in ai

What is Reasoning in AI?

In Artificial Intelligence (AI), Reasoning refers to the ability of a computer or machine to reason, that is, to make logical and rational decisions in a problematic situation. Whenever you think, analyze, or find solutions, AI also follows the same process. People often ask, “What is reasoning in AI?” The answer is that reasoning is the process by which machines use accumulated knowledge to draw conclusions and solve problems.

There are two types of Reasoning: Deductive reasoning and Inductive reasoning. In deductive reasoning, the machine draws the correct conclusion based on already known rules and facts; like using formulas in mathematics. Inductive reasoning, AI makes inferences by recognizing patterns in unknown data, such as weather forecasting or spam filtering. Practical AI applications such as Google Assistant, ChatGPT, medical expert systems, and recommendation engines all use reasoning techniques.

This not only helps machines think like humans but also makes decision-making efficient and reliable. For example, if a self-driving car sees a red light ahead, it reasonably decides to brake to avoid an accident.

Tip: Experience AI reasoning yourself!

To understand reasoning more clearly, check out Wikipedia Automated Reasoning or Google search for "AI reasoning examples." Also, interact with chatbots (like ChatGPT) to solve common tricky questions – this is a great way to learn practical reasoning skills.