 Also, common principles of causal decision theory advance standards of rationality that are too demanding to apply to humans. They are standards for ideal agents in ideal circumstances (a precise formulation of the idealizations may vary from theorist to theorist). Making causal decision theory realistic requires relaxing idealizations that its principles assume. A generalization of the principle of expected-utility maximization, for example, may relax idealizations to accommodate limited cognitive abilities. Weirich (2004) and Pollock (2006) take steps in this direction. Appropriate generalizations distinguish taking maximization of expected utility as a procedure for making a decision and taking it as a standard for evaluating a decision even after the decision has been made.