Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: Classical Decision Theory provides a norma­ tive framework for representing and reason­ ing about complex preferences. Straightfor­ ward application of this theory to automate decision making is difficult due to high elic­ itation cost. In response to this problem, researchers have recently developed a num­ ber of qualitative, logic-oriented approaches for representing and reasoning about pref­ erences. While effectively addressing some expressiveness issues, these logics have not proven powerful enough for building practical automated decision making systems. In this paper we present a hybrid approach to pref­ erence elicitation and decision making that is grounded in class ical multi-attribute util­ ity theory, but can make effective use of the expressive power of qualitative approaches. Specifically, assuming a partially specified multilinear utility function, we show how comparative statements about class es of deci­ sion alternatives can be used to further con­ strain the utility function and thus identify sup-optimal alternatives. This work demon­ strates that quantitative and qualitative ap­ proaches can be synergistically integrated to provide effective and flexible decision sup­ port.

A Hybrid Approach to Reasoning with Partially Elicited Preference Models