Weighted voting games provide a popular model of decision making in multiagent systems. Such games are described by a set of players, a list of players' weights, and a quota;...
Michael Zuckerman, Piotr Faliszewski, Yoram Bachra...
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Many of the benchmark domains in AI planning are tractable on an individual basis. In this paper, we seek a theoretical, domain-independent explanation for their tractability. We ...
In this paper we discuss our work on using the incongruity measure from psychological literature to scale the difficulty level of a game online to the capabilities of the human pl...
Giel van Lankveld, Pieter Spronck, Matthias Rauter...
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...