It attempts to select variables in a manner that maintains equilibrium in the constraint graph, balancing the number of assigned and unassigned variables.

It selects the variable with the least number of dependencies, encouraging a simpler and more straightforward assignment process.

It chooses the variable with the highest number of dependencies on other variables, aiming to reduce the complexity of the constraint graph.

It systematically increases the degree of constraint satisfaction by prioritizing variables that can be maximally constrained without assignment.

It prioritizes variables by selecting the one with the maximum available values in its domain, thus attempting to keep the solution space wide open.