1.3

The good: this adapts to include new problems in the future, captures a wide range of AI such computer vision, natural language processing.

The bad: it rules out any "solved" problems, very hard to say what counts as "cool".

“Machines imitating intelligent human behavior”

The good: the same as in the previous. Also, imitate is a good word since it doesn't require that the AI solutions should "be" intelligent (whatever it means) and it's instead enough to act intelligently.

The bad: the definition is almost self-referential in that it immediately leads to the question what is 'intelligent', also this one is too narrow in the sense that it only includes human-like intelligent behavior and excludes other forms of intelligence such as so-called swarm intelligence (intelligence exhibited by for example ant colonies).

“Autonomous and adaptive systems”

The good: it highlights two main characteristics of AI, captures things like robots, self-driving cars, and so on, also nicely fits machine learning-based AI methods that adapt to the training data.

The bad: once again, these lead to further questions and the definition of 'autonomous' in particular isn't very clear (is a vacuum cleaner bot autonomous? How about a spam filter?). Furthermore, not all AI systems need to be autonomous and we can in fact often achieve much more by combining human and machine intelligence.