The Higgins Laboratory
From brains to robots, and everything in between.

Prof. Higgins' Ph.D. research concerned information theoretic extraction of conjunctive rules from databases, applied both to discrete classification and function approximation. The function approximator was used to learn a nonlinear control system. You can find more information below. This kind of research could lead to computer systems which learn and can explain what they learned!