Jeff Forbes

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The problem of driving an autonomous vehicle in normal traffic engages many areas of AI research and has substantial economic significance. We describe work in progress on a new approach to this problem that uses a decision-theoretic architecture using dynamic probabilistic networks. The architecture provides a sound solution to the problems of sensor(More)
— This paper presents our experiences promoting active learning in programming courses from introductory to advanced levels. We use a variety of techniques as our courses vary greatly in size and our facilities vary in layout and equipment. For large lectures, we present active interludes that require students to work in small groups, respond to periodic(More)
Interest in computer science is growing. As a result, computer science (CS) and related departments are experiencing an explosive increase in undergraduate enrollments and unprecedented demand from other disciplines for learning computing. According to the 2014 CRA Taulbee Survey, the number of undergraduates declaring a computing major at Ph.D. granting(More)
Preface In late 2001, the SIGCSE Board announced a new program, known as the SIGCSE-Committee Initiative. This program is a means for SIGCSE members with like interests or common concerns to form a committee to provide a forum for ongoing, focused discussions on an issue of interest to the membership as a whole. New committees are proposed to the SIGCSE(More)
ii ACKNOWLEDGMENTS I must thank Dr. Lance Porter for his outstanding guidance, vast experience, and fantastic sense of humor throughout the past year. Without his supervision, I may never have made it past the research phase of this project. Credit also goes to my other committee members: Dr. Anne Osborne for her helpful insight and suggestions along the(More)
—This paper presents our experiences promoting active learning in programming courses from introductory to advanced levels. We use a variety of techniques as our courses vary greatly in size and our facilities vary in layout and equipment. For large lectures, we present active interludes that require students to work in small groups, respond to periodic(More)
The problem of driving an autonomous vehicle in normal traffic engages many areas of AI research and has substantial economic significance. We describe work in progress on a new approach to this problem that uses a decision-theoretic architecture using dynamic probabilistic networks. The architecture provides a sound solution to the problems of sensor(More)
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