Abstract
In this article we present an overview of the KADS methodology for building knowledge based systems (KBS) and how it is applied in a paramedical domain: Diagnosis of physiotherapeutic disorders. We want to demonstrate that KADS’s commitment to layered modelling of expertise provides a far more structured picture in domains which have traditionally a preponderant heuristic flavour, like medical domains. This has many advantages: not only does it provide a basis for systematic elicitation of knowledge from experts, it also enables a very modularised design of the KBS -which is particularly important for system maintenance. Moreover, the decomposition of knowledge and skills involved makes an articulate, semi-deep model a strong basis for an Intelligent Teaching System (ITS). This is illustrated by the description of the modelling and design of an ITS for physiotherapeutic diagnosis, the PhysioDisc system.
Several interesting conclusions can be drawn from this research on the acquisition and construction of knowledge bases for medical applications and on medical education.
The research reported here is partially funded by the Esprit Programme of the European Community (Contract P1098) and the Dutch INSP Programme (IN-project). We like to acknowledge the contributions of colleagues in the P1098 project, in particular Bob Wielinga, and those in the IIV-Project, in particular Wilfred Achthoven and Armando van Gennip of Bolesian Systems, Helmond, NL.
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References
Anjewierden, A. (1988) Knowledge Acquisition Tools, AI-Communications, 0, pp. 29–38.
Anjewierden, A., and Wielemaker, J.(1989) Extensible objects. Paper for OOPSLA’89 (Esprit 1098; Tech. Report UvA-C1-TR-006a, University of Amsterdam.
Boshuizen, H. P.A. (1989) De ontwikkeling van medische expertise. Ph D Thesis, Rijks Universiteit Limburg.
Brachman, R.J. (1979) On the epistemological status of semantic networks. In: R. Findler (ed). Associative Networks, Academic Press, New York.
Bredeweg, B. and Wielinga, B.(1988) Integrating qualitative reasoning approaches. Proceedings of the European AI Conference, Pitman, London.
Breuker, J.A.(ed) (1987) Model driven knowledge acquisition: Interpretation models. Deliverable D1, Esprit 1098, University of Amsterdam.
Breuker, J.A., Winkels, R.G.F. and Sandberg, J.A.C.(1986) Didactic Goal Generator. Deliverable 2.2.3 of the ESPRIT Project P280, ‘EUROHELP’. University of Amsterdam.
Breuker, J.A. and Wielinga, B.J.(1989) Models of expertise in Knowledge Acquisition. In: G. Guida and C. Tasso (eds). Topics in Expert System Design: methodologies and tools. North Holland, Amsterdam.
Breuker, J.A., Wielinga, B.J. (eds) (In preparation) The KADS Methodology for building knowledge based systems. Academic Press.
Chandrasekaran, B. and Mittal, S.(1983) Conceptual representation of medical knowledge for diagnosis by computer. MDX and related systems. In: Advances in Computers, Academic Press, New York, pp. 217–293.
Clancey, W.J. (1983) The epistemology of a rule based system: a framework for explanation. Artificial Intelligence, 20, pp. 215–251.
Clancey, W.J. (1985) Heuristic Classification. Artificial Intelligence, 27, pp. 289–350.
Clancey, W.J. (1988) The role of qualitative models in instruction. In: J. Self (ed). Artificial Intelligence and Human Learning, Chapman and Hall, London.
De Kleer, J.H. and Brown, J.S.(1984) Qualitative reasoning about physical systems. Artificial Intelligence, 24, p7.
Edin, G, Rooke, P., Breuker, J., Rangecroft, T and Hayes, F(1987). The KADS Handbook. Esprit 1098, J1, Scicon Ltd, London.
Fox, J., Myers, C.D., Greaves, M.F. and Pegram, S.(1987) A systematic study of knowledge base refinement in the diagnosis of leukemia. In: A. Kidd (ed). Knowledge Acquisition for expert systems: a practical handbook.
Greef, P. de and Breuker, J.A.(1989) A methodology for analysing modalities of system/user cooperation for KBS. Proceedings of EKAW ‘89, Paris, pp. 462–473.
Haan, N. den (1989) DERMAX, een expertsysteem voor dermatologisch onderzoek. Master thesis, University of Amsterdam, Department of Computer Science.
Hayes-Roth et al (1983) Building Expert Systems.
Kuipers, B. and Kassirer, J.P.(1987) Knowledge acquisition by analysis of verbatim protocols. In: A. Kidd (ed). Knowledge Acquisition for expert systems: a practical handbook.
Newell, A.(1982) The Knowledge Level. Artificial Intelligence, pp. 87–127.
Schreiber, G., Bredeweg, B., Davoodi, M. and Wielinga, B.(1987) Towards a Design Methodology for KBS. Deliverable D8, Esprit 1098, University of Amsterdam.
Schreiber, G., Breuker, J., Bredeweg, B. and Wielinga, B.(1988) Modelling in KBS Development. Third European Workshop on Knowledge Acquisition. Steels, L. (1987). The deepening of expert systems. AI Communications, 0, pp. 9–16.
Sticklen, J., Chandrasekaran, B. and Josephson, J.R.(1985) Control issues in Classificatory diagnosis. Proceedings of the IJCAI-85, Los Angeles 1985, Morgan Kaufman, Los Altos, pp 300–306.
Tversky, A. and Kahneman, D.(1974) Judgement under uncertainty: heuristics and biases. Science, 184, pp. 1124–1131.
Wielinga, B.J. and Breuker, J.A. (1986) Models of Expertise. Proceedings of ECAI 1986.
Wilson, M.(1989) Task Models for knowledge elicitation. In: D. Diaper (ed). Knowledge elicitation: principles, techniques and applications, pp. 197–220.
Winkels, R.G.F., Achthoven, W.A. and Gennip, A. van (1989) Methodology and Modularity in ITS Design. Proceedings of the 4th International Conference on AI andEducation, Amsterdam, May 1989.
Winkels, R.G.F. and Breuker, J.A.(1988) Een Computer Coach voor het rIV Project. Deliverable of the Intelligent Interactive Video System project.
De Greef, R and Breuker, J.A. (1989). A methodology for analysing modalities of system/user cooperation for KBS. In: J. Boose, B. Gaines and J.G. Ganascia (eds), Proc. of the 3rd European Workshop on Knowledge Acquisition for Knowledge-Based Systems, EKAW-89, Paris, 1989, pp 452–474.
Hayes-Roth, F., Waterman, D.A. and Lenat, D.B.(eds) (1983), Building expert systems, Addison-Wesley, New York.
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Breuker, J., Winkels, R. (1991). The Use of the KADS Methodology in Designing an Intelligent Teaching System for Diagnosis in Physiotherapy. In: Talmon, J.L., Fox, J. (eds) Knowledge Based Systems in Medicine: Methods, Applications and Evaluation. Lecture Notes in Medical Informatics, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08131-0_1
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DOI: https://doi.org/10.1007/978-3-662-08131-0_1
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