A new term is floating around the Computer Science Artificial Intelligence circles that is catching on — “Causal Science” — and it seems this technique helps us better predict future behaviors. The father of Causal Science is none other than Judea Pearl, the same Judea Pearl that created Bayesian Networks. His work on Bayesian networks and causation was so profound that in 2011 Professor Pearl was awarded the highest honors in both Computer Science and Human Cognition. He was awarded the Allen Turing Award “for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning”. Additionally in the same year, he received the Rumelhart Prize for Contributions to the theoretical foundation of human cognition.
When someone, in the same year, wins an award for contributions to theoretical foundations of Human Cognition and the equivalent to the Nobel prize for Computer Science, that person is probably on to something, and we should pay attention.