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Commonsense Reasoning

Commonsense reasoning refers to the innate ability to make sound judgments and inferences about everyday situations based on general knowledge and experiences that most people share. It involves understanding basic concepts, recognizing cause-and-effect relationships, and applying practical knowledge in familiar contexts. For example, knowing that if it rains, people typically use umbrellas, or that animals eat food to survive. In the realm of artificial intelligence, developing systems that can mimic this kind of reasoning is crucial for enabling machines to interact with the world in a more human-like and intuitive manner.

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    Commonsense reasoning refers to the ability to make judgments and understand situations based on everyday knowledge that most people share, even if it isn’t explicitly taught. It involves using intuitive knowledge about the world, such as understanding basic cause and effect, social norms, and how things typically work. For example, knowing that if it’s raining, people are likely to carry umbrellas or that a person might feel sad after losing a pet. This kind of reasoning is essential for interpreting information, solving problems, and interacting effectively in daily life.