Decision making with adaptive utility provides a generalisation to classical Bayesian decision theory, allowing the creation of a normative theory for decision selection when preferences are initially uncertain.✔ Speaker : Brett Houlding - an Assistant Professor inTrinity College Dublin, Ireland.
✔ Topic : Adaptive Utility: Decision Making with Uncertain Preferences.
✔Time : 14:30 - 16:00 ; Thursday 09/03/2017
✔Place: Lecture Hall, John von Neumann Institute, Linh Trung Ward, Thu Duc Dist, HCMC.
✔ Abstract: Decision making with adaptive utility provides a generalisation to classical Bayesian decision theory, allowing the creation of a normative theory for decision selection when preferences are initially uncertain. In this talk I address some of the foundational issues of adaptive utility as seen from the perspective of a Bayesian statistician and the implications that such a generalisation has upon the traditional utility concepts of value of information and risk aversion. A new concept of trial aversion is introduced that is similar to risk aversion, but which concerns a decision maker's aversion to selecting decisions with high uncertainty over resulting utility. I conclude with some recent extensions for computationally efficient modelling and implications for classical sequential hypothesis testing before discussing current research concerning applications within recommender systems.”
✔ Speaker's CV for your reference : https://www.scss.tcd.ie/Brett.Houlding/Index/Home.html
✔ Link registration : https://goo.gl/forms/9zzz0YbIQmnBvE1n2