Similarly, it is asked, what is common sense in AI?
In artificial intelligence research, commonsense knowledge consists of facts about the everyday world, such as "Lemons are sour", that all humans are expected to know. Common sense knowledge also helps to solve problems in the face of incomplete information.
One may also ask, how is common sense knowledge represented? Virtually all the propositional models of commonsense knowledge are perceived as consisting of nodes that are associated with words or tokens representing concepts.
Also asked, what are examples of common sense?
Following are few common sense examples that come to my mind:
- Not going out nude in public.
- Closing your eyes when you want to sleep.
- Not writing an examination paper with yellow highlighter.
- Wearing sports shoes when you have to go for hiking.
- Switching the gas stove on when you want to boil water.
How long does it take to train an AI?
That includes how we learn. Malcolm Gladwell famously coined the “10,000-Hour Rule” in his book Outliers, a concept that he borrowed from Anders Ericsson's research on the development of expertise. The simplified idea is that humans need at least 10,000 hours of practice at a skill to become an expert.