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...
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
This paper describes a method for the development of dialogue managers for natural language interfaces. A dialogue manager is presented designed on the basis of both a theoretical...
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...