We address a basic diffculty with incorporating fairness into standard utilitarian choice theories. Standard utilitarian theories evaluate lotteries according to the (weighted) utility over ?nal outcomes and assume in particular that a lottery is never preferred over getting the most preferred...

This paper models an agent in a multi-period setting who does not update according to Bayes' Rule, and who is self-aware and anticipates her updating behavior when formulating plans. Choice-theoretic axiomatic foundations are provided to capture updating biases that reflect excessive weight...