Academic decision theorists largely reject Functional Decision Theory due to vague definitions. A new proposal suggests a pragmatic variant to bridge the gap between rationalist enthusiasm and formal academic skepticism. This approach attempts to formalize how agents predict outcomes in game-theoretic scenarios. It provides a more rigorous framework for researchers studying AI alignment and agent behavior.