Scott Douglas Jacobsen and Rick Rosner examine default logic, Bayesian inference, and autoepistemic logic in artificial intelligence. They compare default assumptions to scientific experimentation, illustrate Bayesian updates through real-world examples like ID checking, and explore recursive belief models where agents form and revise beliefs about their own reasoning processes.