Joshua Jones, Postdoctoral Reseach Associate
Computer Science and Electrical Engineering
University of Maryland Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250
phone: (410) 455-3961
email: josh.jones@umbc.edu
Education
Ph.D., Computer Science, Georgia Institute of Technology, 2010
B.S., Summa Cum Laude, Computer Science, University of New Hampshire, 1999
Research Areas
Artificial intelligence, machine learning, grammar induction metareasoning
Biosketch
Dr. Joshua Jones is a a postdoctoral researcher at the University of Maryland, Baltimore County, where he works on a number of projects with the CORAL and MAPLE labs. These include the development of novel techniques for grammar induction, learning of branching lexicographic preference models, metareasoning in a robotics domain using the Meta-Cognitive Loop (MCL) reasoning system and applications of machine learning methods in medical and financial domains. Dr. Jones earned his PhD in May 2010 at the Georgia Institute of Technology, as a member of the Design Intelligence Laboratory led by Prof. Ashok Goel. His primary research interest is in the area of Artificial Intelligence. He works mostly on learning, which his dissertation viewed as a result of metareasoning — where changes to an agent’s knowledge or processes are produced by a deliberative process of agent introspection (self-diagnosis) and self-repair. His dissertation research involved designing both reasoning processes capable of such learning, and knowledge representations capable of supporting those reasoning processes, all of which are implemented in a system called Augur. Augur is also integrated with several statistical machine learning algorithms, and as such, the work is in part intended to establish a bridge between machine learning and knowledge-based approaches to AI.