Let’s 1: the suitcase The answers to these questions

Let’s first see what is computing, in general it can define as any goal-centered activity
need or creating computers. So it includes designing and developing software/hardware
systems for a goal, configuration and managing diverse kind of information or
doing scientific studies using computers. The term “computing”  many times synonymous with
counting and calculating. In olden days, it was used in reference to any action
performed by mechanical computing
machines.

Computing can be conventional or
intelligent. Simply we can say a conventional computing is based on particular
sets of instruction (algorithm) to solve given problem and it can’t solve any
problem for which it haven’t instructions. Whereas intelligence computing usually refers to the ability of the computer (machine) to
learn a definite task or solve a problem from data or trials and it can make
new algorithm to solve new problems.

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An intelligent system first observe
its environment for collecting information using sensors or data given to it
then plan how it will execute to solve the problem in best way and finally it
learn and update its information from its mistake in solving problem for next
solution. For example chess played by computer, in this it have learned that
much now that it can beat any human in chess and all this it learned by
improving its moves from preceding  mistakes.
So to see if the given solution is intelligent
or not all we need to check is if it can learn from its previous mistake to
solve new problem on its on. If it repeat the same mistake again and again then
it is not intelligent.

Also for
checking if the system is AI or not we have Turing tests but since now a day it
can easily be fooled we have some new methods to check AI, for example Winograd
Schema Challenge.In this it presents a
number of multiple choice questions within specific format like:

     Q: The trophy would not fit in the brown
suitcase because it was too big (small). What was too big (small)?( form https://io9.gizmodo.com/8-possible-alternatives-to-the-turing-test-1697983985)

Answer 0: the trophy

Answer 1: the suitcase

The answers to these questions seem easy for human.  But for
answering this correctly requires skills that remain vague for computers, such
as spatial and interpersonal reasoning or common sense.