Möbus, Claus and Schröder, Olaf (1997) Acquiring qualitative and quantitative knowledge from verbal statements and dialogues in probabilistic domains. In: SoftStat ´97. Advances in Statistical Software (6). Lucius & Lucius, Stuttgart:, pp. 267-274. ISBN 3-8282-0032-X

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We describe an approach to acquire qualitative and quantitative knowledge from verbal statements and dialogues in complex, probabilistic domains. This work is part of the development of an intelligent environment, MEDICUS (Modelling, explanation, and diagnostic support for complex, uncertain subject matters), that supports modelling and diagnostic reasoning in the domains of environmental medicine and human genetics. The system is designed for professional as well as for further education purposes in these two medical domains. Support for other domains of rapidly changing and uncertain knowledge will be possible as well. In MEDICUS, uncertainty is handled by the Bayesian network approach. Thus modelling consists of creating a Bayesian network for the problem at hand. Since MEDICUS is designed for users interested in the domain but not necessarily in mathematical issues, it is possible to state propositions verbally and let the system generate a Bayesian network proposal. This differs from existing reasoning systems based on Bayesian networks, i.e. in medical domains, which contain a built-in knowledge base that may be used but not created or modified by the user. Diagnostic reasoning and deciding consists of using the network for stating and testing diagnostic hypotheses, and asking for recommendations.

Item Type: Book Section
Uncontrolled Keywords: knowledge acquisition, qualitative and quantitative knowledge, verbal statements and dialogues, complex, probabilistic domains, intelligent environment, MEDICUS, modelling and diagnostic reasoning, environmental medicine, human genetics, Bayesian network, verbal propositions, stating and testing diagnostic hypotheses, asking for recommendations
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Technology, medicine, applied sciences > Medicine and health
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 14 Jan 2015 09:13
Last Modified: 14 Jan 2015 09:13
URI: https://oops.uni-oldenburg.de/id/eprint/2072
URN: urn:nbn:de:gbv:715-oops-21533
DOI: DOI: 10.13140/2.1.4249.5049

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