do we need a single experiment for causal network which model uses pearls notation how to combine learnings from a lot of different experiments which describes an experiment to test the causal effects of an intervention? can a causal experiment be multiple why can't we combine different experiments to create a model of causality? combining multiple experiments in a single model what is the difference between combining experiments to produce a causal network which describes the possibility to use the model to combine learnings from multiple experiments? which model uses a set of variables as a parameter for each experiment? how to combine learnings from multiple experiments what is the difference between experiment and simulation in predicting causality? what is the purpose of a causal model with variables in different experiments can you model the effects of an intervention on a variable in the network combining learnings from multiple experiments in a single causal network model how can we combine learnings from multiple experiments in a single causal model? how to combine learnings from multiple experiments in a single causal network how to combine multiple experiments in a causal network when to combine the learnings of a causal experiment with a measurement of the effects of interventions can you combine learnings from multiple experiments in a single causal model?