Tough enough? Robust satisficing as a decision norm for long-term policy analysis

Abstract This paper aims to open a dialogue between philosophers working in decision theory and operations researchers engineers on decision-making under deep uncertainty. Specifically, we assess the recommendation follow norm of robust satisficing when making decisions uncertainty context analyses that rely tools Robust Decision-Making developed by Robert Lempert colleagues at RAND. We discuss two challenges for satisficing: whether might derive its plausibility from an implicit appeal probabilistic representations kind is supposed preclude; there adequate justification adopting norm, as opposed optimizing sensitive considerations robustness. decision-theoretic voting-theoretic motivations satisficing, use these select among candidate formulations norm.