In this paper, we describe a methodology for capturing player experience while interacting with a game and we present a data-driven approach for modeling this interaction. We believe the best way to adapt games to a specific player is to use quantitative models of player experience derived from the in-game interaction. Therefore, we rely on crowd-sourced data collected about game context, playe...

We consider the challenge of preference elicitation in systems that help users discover the most desirable item(s) within a given database. Past work on preference elicitation focused on structured models that provide a factored representation of users’ preferences. Such models require less information to construct and support efficient reasoning algorithms. This paper makes two substantial con...

Team formation is a core problem in AI. Remarkably, little prior work has addressed the problem of mechanism design for team formation, accounting for the need to elicit agents’ preferences over potential teammates. Coalition formation in the related hedonic games has received much attention, but only from the perspective of coalition stability, with little emphasis on the mechanism design obje...

Rapid changes in the business environment such us the globalization as well as the increasing necessity to make crucial decisions involving a huge range of alternatives in short period of time or even in real time have made that computerized group decision support systems become very useful tools. However in the majority of the cases the panel of experts cannot provide all the information about...

Uncertainty arises in preference aggregation in several ways. There may, for example, be uncertainty in the votes or the voting rule. Such uncertainty can introduce computational complexity in determining which candidate or candidates can or must win the election. In this paper, we survey recent work in this area and give some new results. We argue, for example, that the set of possible winners...

0377-2217/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.ejor.2012.09.037 ⇑ Corresponding author. Tel.: +31 15 27 81716; fax E-mail addresses: [email protected] (J. Rezaei), j.r. 1 Tel.: +31 15 27 84815; fax: +31 15 27 83177. One of the strategic activities of a firm is supplier segmentation, whereby a firm creates groups of suppliers to handle them differently. Existing ...

Multiple Criteria Sorting Problem consists in assigning a set of alternatives A"Ma 1 , a 2 ,2, l evaluated on n criteria g 1 , g 2 ,2, n to one of the categories which are pre-de"ned by some norms corresponding to vectors of scores on particular criteria, called pro"les, either separating the categories or playing the role of central reference objects in the categories. The assignment of an alt...

ObjectiveThis review examined the psychometric performance of 4 generic child- and adolescent-specific preference-based measures that can be used to produce utilities for child adolescent health.MethodsA systematic search was undertaken identify studies reporting Child Health Utility (CHU9D), EQ-5D-Y (3L or 5L), Utilities Index Mark 2 (HUI2) 3 (HUI3) in children and/or adolescents. Data were ex...

Objective—To compare the cost eVectiveness of various strategies for neonatal hearing screening by estimating the cost per hearing impaired child detected. Design—Cost analyses with a simulation model, including a multivariate sensitivity analysis. Comparisons of the cost per child detected were made for: screening method (automated auditory brainstem response or otoacoustic emissions); number ...

In this paper we explore the relationship between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the problem of learning via queries studied in computational learning theory. Preference elicitation is the process of asking questions about the preferences of bidders so as to best divide some set of goods. As a learning problem, it can be thought of ...