Build a Bayesian network for diagnosing why a car on the road has broken down.

First, identify the most important five or six causes for car breakdown (perhaps, lack of fuel or the battery being flat when attempting to restart). Identify some likely symptoms you can use to distinguish between these different causes. Next you need the numbers. Do the best you can to find appropriate numbers within the time frame of the assignment, whether from magazines, the Internet or a mechanic. Run some different scenarios with your model, reporting the results.