Recently, many researchers in Artificial intelligence (AI) are interested in implementing causality in machine. Some researchers such as Pearl suggest inferential logic as the best way to implement causality in machine. Other researchers such as Faghihi and his colleagues suggest Probabilistic Fuzzy logic as a better alternative for the implementation of Causality in machine. We think that one technic or tool such as inferential logic can not accomplish causality. In this presentation, we will define the ladder of causality as a combination of different domain and techniques such as logic, Deep Learning algorithms, and cognitive architectures.