Others involved:
Funding: SERC/MRC/ESRC Research Studentship œ20,800
For his PhD Glenn Morgan has been investigating how students learn new problem solving heuristics. This Cognitive Science research is implemented as a computational model known as HAL, Heuristic Applier-Learner. HAL is an extension to the MU system described elsewhere which has a small number of general purpose heuristics built in. MU/HAL is able to learn new problem solving heuristics by analysing worked solutions to problems. This has been demonstrated in a number of branches of mathematics, including the calculus. His work is jointly supervised by Furse and Nicolson.
This work could be further extended by consideration of the heuristics used by Kurt Ammon's SHUNYATA system, and investigating how these could be learned.
Page by Kevin H. Sewell
Last updated 24/October/95