AI: Causal Model and RothMan's model from biosciences AI references AI: Causal model and Rothman's model applied in bioscience 1.AI: Causal model A  causal model , or a model of causality, is a representation of a domain that predicts the results of interventions . An  intervention  is an action that forces a variable to have a particular value. That is, an intervention changes the value in some way other than manipulating other variables in the model. To predict the effect of interventions, a causal model represents how the cause implies its effect. When the cause is changed, its effect should be changed. An  evidential model  represents a domain in the other direction – from effect to cause. Note that we do not assume that there is “the cause” of an effect; rather there are propositions, which together may cause the effect to become true. Example In the electrical domain depicted in Figure 5.2, consider the relationship between pol...