After a variable is selected, we need to find a value to be assigned to the
variable. This problem is usually called "value selection" in constraint
programming. Typically, the most useful advice is to select the best-fit
value. So, we are looking for a value which is the most preferred for the
variable and which causes the least trouble as well. This means that we need
to find a value with the minimal potential for future conflicts with other
variables. For example, a value which violates the smallest number of soft
constraints can be selected among those with the smallest number of hard
The task of this criterion is to select a value of the given variable which
will be assigned to this variable.
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