Standardizing thought experiments, or Gedankenexperiments, for non-physical fields depends on shifting the focus from spatial intuition to logical consistency. In physics, these experiments often rely on mental images of motion or forces. However, in abstract fields like mathematics, computer science, or linguistics, the methodology can be taught as a formal exercise in logical boundary testing and paradox identification.
To teach this as a formal framework, educators can focus on three core components. First, the definition of a simplified model that isolates specific variables. Second, the rigorous application of logical rules to that model to observe consequences. Third, the identification of contradictions or unexpected outcomes that suggest a flaw in the current theory. Instead of visualizing physical movement, students learn to visualize logical flows or data structures.
While it is difficult to create a single universal template, a framework based on formal logic and symbolic manipulation allows scientists in abstract sectors to use this method effectively. By treating the thought experiment as a controlled mental simulation of a logical system rather than a physical scenario, researchers can use it to test the limits of their theories without needing physical intuition.
