This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
According to the logical model of Information Retrieval (IR), the task of IR can be described as the extraction, from a given document base, of those documents d that, given a que...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
Shared decision diagram representations of a state-space have been shown to provide efficient solutions for model-checking of large systems. However, decision diagram manipulation ...
Using content-specific models to guide information retrieval and extraction can provide richer interfaces to endusers for both understanding the context of news events and navigat...
Earl J. Wagner, Jiahui Liu, Larry Birnbaum, Kennet...