Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Abstract. This paper presents a case study for using a relatively recently developed methodology, Behavior Oriented Design, to develop an Intelligent Virtual Agent (IVA). Our usabi...
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
In order to analyze or better develop modern computer games it is critical to have an appropriate representation framework. In this paper a symbolic representation of modern comput...
We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations and clustering, in terms of their utility in decisionmaking. Thi...
Jon M. Kleinberg, Christos H. Papadimitriou, Prabh...