Simple and inertial behavior: an optimizing decision model with imprecise perceptions

Simplicity and inertial (or status-quo) bias are common features of actual decision rules used by real-life agents. In this paper, we provide one possible rationale for these features in terms of a model in which the decision maker is subject to imprecise perceptions about the consequences of action that differ from (an already experienced) status quo