Interpolating Decisions

Decision theory requires agents to assign probabilities states of the world and utilities possible outcomes different actions. When commit having and/or in a decision problem defined by objective features world, they may find themselves unable decide which actions maximize expected utility. has long recognized that work-around strategies are available special cases; this is where dominance reasoning, minimax, maximin play role. Here we describe work around, wherein rational about one can be reached ‘interpolating’ information from another agent believes already been rationally solved.