Abstract
This paper is concerned with a systematic approach to knowledge base maintenance using an application in magnetic resonance (MR) imaging. The aim is to allow an expert to make changes to the knowledge base, always leaving it consistent and correct. The changes may be necessary for three reasons: (a) to correct any errors found in the knowledge base (b) to accommodate new research findings and (c) to adapt the knowledge base to the individual preferences of different experts. The types of changes considered range from minor modifications of the menu driven user interface to the introduction of new concepts and associated facts and production rules. In this context the paper discusses the following points: (a) Basic design and functionality of the expert system, (b) Modification of the menu system, facts and rules; consistency checks and on-line help, (c) Explanation facilities to help explore the implications of changes, (d) Debugging and trace facilities to follow the reasoning of the system, (e) Testing procedures to ensure the correctness of the modified knowledge base.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Davis R. — Interactive transfer of expertise: Acquisition of new inference rules. Artificial Intelligence 1979 12 121–157.
Ginsberg A., Weiss S. and Politakis P. — Seek2: A generalised approach to automatic knowledge base refinement. In proceedings of AAAI 1987, the sixth national conference on Artificial Intelligence, Seattle, Washington.
Finn T. and Silverman D. — Interactive classification — A technique for building and maintaining knowledge bases. In proceedings of the IEEE workshop on the principles of knowledge-based systems. 1984.
Sharpe W.P., Hull R., Black D.S., Manley J.C. and Zaba S.J.M. — A methodology and architecture for knowledge base management systems. 1986, Hewlett Packard labs, Bristol Technical Report No. HPL-BRC-TR-86-038.
Soloway E., Bachant J. and Jensen K. — Assessing the maintainability of XCON-in-RIME: Coping with the problems of a VERY large rule-base. In proceedings of AAAI 1987, the sixth national conference on Artificial Intelligence, Seattle, Washington. 824–829.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bacon, E., McKenzie, S., Smith, M., Bingham, J., Bramer, M. (1989). GAUSS: A Generalised Approach to Updating Scanner Strategies. In: Hunter, J., Cookson, J., Wyatt, J. (eds) AIME 89. Lecture Notes in Medical Informatics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93437-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-93437-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51543-2
Online ISBN: 978-3-642-93437-7
eBook Packages: Springer Book Archive