This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
This demonstration will be the presentation of a new testbed for joint activity. The domain for this demonstration will be similar to the classic AI planning problem of Blocks Worl...
Matthew Johnson, Catholijn M. Jonker, M. Birna van...
One vision of the “Semantic Web” of the future is that software agents will interact with each other using formal metadata that reveal their interfaces. We examine one plausibl...
Drew V. McDermott, Mark H. Burstein, Douglas R. Sm...
We focus on clustering gene expression temporal profiles, and propose a novel, simple algorithm that is powerful enough to find an efficient distribution of genes over clusters. We...