We present an approach for optimizing the performance of information agents by materializing useful information . A critical problem with information agents, particularly those ga...
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
Scheduling of multiple parallel machinesin the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteedto pro...
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
In automated negotiation systems consisting of self-interested agents, contracts have traditionally been binding, i.e., impossible to breach. Such contracts do not allow the agent...
This case study illustrates how the adoption of AI technology can bene t smaller companies as well as major corporations. Pindar Set is a small UK company which has originated the...
Gail Anderson, Andrew Casson-du Mont, Ann Macintos...
Previous work has shown that providing information about story structure is critical for browsing audio broadcasts. We investigate the hypothesis that Speaker Role is an important...
Regina Barzilay, Michael Collins, Julia Hirschberg...
In this paper we extend the concept of exception spaces as defined by Cost and Salzberg (Cost and Salzberg, 1993), in the context of exemplar-based reasoning. Cost et al. defined ...
Sarabjot S. Anand, David W. Patterson, John G. Hug...