New theory revolutionizes causal inference without graphs or dependencies!
The article explores a new way to understand cause and effect without using graphs or complex mathematical relationships. Instead, it focuses on information fields and a model by Witsenhausen. The researchers found a simpler rule for determining when two things are independent, which can be useful for studying systems with cycles or extra connections. This approach can handle situations that current methods cannot, especially when dealing with continuous or discrete variables in systems with cycles.
