We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
Abstract Spatio-temporal extensions to data models have been an active area of research for a number of years. To date, much of this work has focused on the relational data model, ...
Tony Griffiths, Alvaro A. A. Fernandes, Norman W. ...
Role-based access control and role hierarchies have been the subject of considerable research in recent years. In this paper, we consider three useful applications of a new role-b...
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Recently, a generic approach for syntax-based user assistance in diagram editors has been proposed that requires the syntax of the visual language to be defined by a graph grammar...