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We take common sense for granted, but this uniquely human trait is difficult to emulate artificially, as it relies on a variety of powerful abilities of our mind.
Common sense is a broad trait, which includes spatial intelligence, reasoning, managing expectations, knowledge of abstract concepts and social abilities.
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Machine learning of common sense is now considered a moonshot problem, requiring intensive collaborative efforts from different institutions and organizations.
Understanding natural language and answering simple questions are the first steps towards building common sense in machines.
To learn common sense, machines would have to master sociology, psychology, planning and execution, emotions, threat detection, background knowledge, and many abstract concepts.
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