DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at good old-fashioned probability trees. The probability tree diagram is used to represent a probability space. Tree diagrams illustrate a series of independent events or conditional probabilities. The Node on the probability tree diagram represents an event, and it's probability. The root node represents a particular event where probability equals one.