Paul Compton's home pageI am am an emeritus professor in the School of Computer Science and Engineering (CSE) at The University of New South Wales.Most of my research for the last 30 years has been around the idea of building systems incrementally using a learning or knowledge acquisition stragegy known as Ripple-Down Rules. Contact Professor Paul Compton School of Computer Science and Engineering The University of New South Wales Sydney 2052 Australia mob 61 425375279 email p.compton@unsw.edu.au Rm 303 Computer Science Building (map ref k17) |
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Ripple-Down Rules summaryRipple-Down Rules (RDR) is a strategy of bulding systems incrementally while they are already in use. When a system does not deal with a case or situation correctly a change is made in such a way that the previous competence of the system is not degraded. The change is made simply and rapidly and the difficulty of making a change should not increase as the system develops. RDR can be categorised as a type of apprentice learningVarious industrial RDR systems have been developed for a range of applications. There have have been research proofs for a wide range of applications including: various types of classification problem, configuration or parameter tuning, text-processing, conversational agents, image processing, heuristic search, tuning genetic algorithms and multi-agent environments. There have also been machine-learning versions of RDR. A number of researchers across various universities have been involved in this research. It seems current research is aimed at: - extending the range of possible applications of RDR, particular with text processing and conversational agents - further extensions to RDR algorithms - ways of combining machine learning and RDR, in particular RDR systems that can recognise when a case is outside their competence |
[1] Compton, P. and Kang B.H (2021) Ripple-Down Rules: the Alternative to Machine Learning, CRC Press (Taylor and Francis)
[2] Compton,
P.
(2013). "Situated cognition and knowledge acquisition research." International
Journal of Human-Computer Studies 71: 184-190.
[3] Compton,
P., L. Peters, T. Lavers and Y. Kim (2011). “Experience
with long-term knowledge acquisition.” Proceedings of
the Sixth International Conference on Knowledge Capture, KCAP
2011, Banff, ACM. 49-56
[4]
Compton, P. and R.
Jansen (1990). "A Philosophical Basis for Knowledge
Acquisition." Knowledge Acquisition 2: 241-257.
[5] Edwards,
G., P. Compton, R. Malor, A. Srinivasan and L.
Lazarus (1993). "PEIRS: a pathologist maintained expert system
for the interpretation of chemical pathology reports." Pathology
25: 27-34.
This
was the first RDR system in industrial (clinical use). Although a
large system with 2000 rules, it was limited by using single
classification RDR
[6] Ho, V. H., P. Compton, B. Benatallah, J. Vayssière, L. Menzel and H. Vogler (2009). “An Incremental Knowledge Acquisition Method for Improving Duplicate Invoice Detection.” Proceedings of the 25th IEEE International Conference on Data Engineering, ICDE 2009, Shanghai, IEEE. 1415-1418
page last updated 22/03/2021