This paper proposes a method to infer intention from observation and specific theoretical assumptions. This approach is grounded in counterfactual reasoning, similar to that underlying contemporary causal research. Causation is not directly observable, but empirical evidence—experimental or sometimes purely observational data—can support causal hypotheses. We propose extending this framework to formally represent interventions upon causal systems by identifying their intended effects. To achieve this, we introduce the concepts of final model and want-operator.
