Academic decision theorists largely reject Functional Decision Theory due to vague definitions. A new proposal suggests a pragmatic variant to resolve these theoretical gaps. This approach aims to formalize how agents predict outcomes in strategic environments. Refined decision frameworks help researchers align AI agents by ensuring they act rationally when facing complex, interdependent game-theoretic scenarios.