Classical planning algorithms require that their operators be simple in order for planning to be tractable. However, the complexities of real world domains suggest that, in order ...
We present a preventive model of tutoring for novice programming derived from a human corpus and describe our intelligent tutoring system PROPL embodying that model. The system co...
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
: This paper shows how architecture description languages can be tailored to the design of embedded automotive control software. Furthermore, graphical modeling means are put in an...
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...