Academic decision theorists largely reject Functional Decision Theory due to vague definitions. One researcher proposes a pragmatic variant to bridge the gap between rationalist enthusiasm and academic skepticism. This refined framework aims to stabilize how agents predict outcomes in game-theoretic scenarios. It offers a more rigorous foundation for aligning autonomous agents with specific goals.