This paper explores a novel approach to linking Graphics and Natural Language Processing (NLP). Our tool, Story Maker, lets users illustrate their stories on the fly, as they enter them on the computer in natural language. Our goals in creating Story Maker are twofold: to explore the use of NLP in the dynamic generation of animated scenes, and to explore ways to exploit users’ input in order to...

In this paper we examine the problem of nding the optimal solution of the stochastic dynamic growth problem with in nite time horizon for a decision maker described in the prospect theory (PT decision maker) that has asymmetric attitude with respect to a reference level of consumption. We compare the optimal solution of the PT decision maker with the optimal solution of the decision maker with ...

We study decision makers who willingly forgo decision rules that vary finely with available information, even though these decision rules are technologically feasible. We model this behavior as a consequence of using classical, frequentist methods to draw robust inferences from data. Coarse decision making then arises to mitigate the problem of over-fitting the data. The resulting behavior tend...