Table with 2^k rows can specify an arbitrary CPT, where k is number of parents of a node.
However, this is too complicated
“AND” gate will check whether all of them are 1,
“OR” gate will check whether all of them are 0.
However, this is too simple
Use k numbers to parametrize all 2^k entries.
More parents are equal to 1, the more probable that Y=1.
However, this only takes into account excitation!
Use k real numbers to parametrize 2^k elements in CPT
Also known as logistic regression in statistics,
activation function in neural networks.
Different from Noisy-OR in that this can mix both inhibition and excitation!