Dr. Jeff Jackson is a professor of computer science. Dr. Jackson's research expertise
in computational learning theory has produced over 20 research papers and led to the
award of four NSF grants. Dr. Jackson has also written a web technologies textbook
and has extensive industry experience as a software engineer and manager. In addition,
Dr. Jackson currently serves as the director of the M.S. in computer science program
and is a past department chair.
Ph.D., Computer Science, Carnegie Mellon, 1995 M.S., Computer Science, California State University, 1981 B.S., Mathematics and Computer Science, Oral Roberts University, 1978
Probabilism holds that a rational agent's beliefs about uncertain events must conform
precisely with mathematical probability theory. Rigid acceptance of probabilism implies
that assumptions are necessary to justify claims of having learned correct generalizations
(No Free Lunch theorems). Dr. Jackson's current research aims to show that probabilism,
in its absolute form, is not a valid epistemic principle and that therefore assumption-free
learning is feasible.