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An interactive framework for open queries in decision support systems. (English) Zbl 1036.68580

Garijo, Francisco J. (ed.) et al., Advances in artificial intelligence – IBERAMIA 2002. 8th Ibero-American conference on AI, Seville, Spain, November 12–15, 2002. Proceedings. Berlin: Springer (ISBN 3-540-00131-X/pbk). Lect. Notes Comput. Sci. 2527, 254-264 (2002).
Summary: We have recently introduced a method for minimising the storage space of huge decision tables faced after solving real-scale decision-making problems under uncertainty. In this paper, the method is combined with a proposal of a query system to answer expert questions about the preferred action, for a given instantiation of decision table attributes. The main difficulty is to accurately answer queries associated with incomplete instantiations. Moreover, the decision tables often only include a subset of the whole problem solution due to computational problems, leading to uncertain responses. Our proposal establishes an automatic and interactive dialogue between the decision support system and the expert to extract information from the expert to reduce uncertainty. Typically, the process involves learning a Bayesian network structure from a relevant part of the decision table and the computation of some interesting conditional probabilities that are revised accordingly.
For the entire collection see [Zbl 1007.00051].

MSC:

68T37 Reasoning under uncertainty in the context of artificial intelligence
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
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