How does the General Multiplication rule differ from the Special Multiplication Rule of Probability?

General Multiplication Rule of Probability is related to a probability of a combined occurrence of any two events $A$ and $B$ (denoted as $A \cdot B$) expressed in term of their individual (denoted as $P \left(A\right)$ and $P \left(B\right)$ correspondingly) and conditional probabilities (probability of occurrence of one event under condition of occurrence of another, denoted as $P \left(A | B\right)$ and $P \left(B | A\right)$ correspondingly):
$P \left(A \cdot B\right) = P \left(A\right) \cdot P \left(B | A\right) = P \left(B\right) \cdot P \left(A | B\right)$
Special Multiplication Rule is related to a probability of a combined occurrence of two independent events (that is, the probability of one is not dependent on the probability of another or, in other words, conditional probability of one under condition of occurrence of another equals to its unconditional probability). This necessitates $P \left(A | B\right) = P \left(A\right)$ and $P \left(B | A\right) = P \left(B\right)$, and the multiplication rule looks like this:
$P \left(A \cdot B\right) = P \left(A\right) \cdot P \left(B\right)$