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An early guidance system for a general knowledge-based aiding framework using probabilistic interventions

Abstract : A common decision problem repeats a lot of time with the same kind of alternatives and the same set of criteria, but with a different decision case in each occurrence. The objective of early guidance in this kind of problem is to facilitate the selection of a subset of satisfactory alternatives for each new decision case, without asking the user any knowledge of the problem. This article proposes an early guidance system based on a model of knowledge of the common decision problem. It first presents the construction of a Bayesian network for a common decision problem to embed the knowledge in the aiding framework. Second, the concept of intervention proposed by Pearl is extended to prob-abilistic interventions for a single variable and for a set of variables. Finally the early guidance procedure is presented on the basis of the Bayesian network and using a proba-bilistic intervention to set a decision case even though it is partially observed.
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https://hal.archives-ouvertes.fr/hal-02302950
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Submitted on : Tuesday, October 1, 2019 - 11:29:51 PM
Last modification on : Tuesday, June 2, 2020 - 10:22:01 AM

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  • HAL Id : hal-02302950, version 1

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Véronique Delcroix, Pierre-Henri Wuillemin. An early guidance system for a general knowledge-based aiding framework using probabilistic interventions. 13èmes Journées d’Intelligence Artificielle Fondamentale (JIAF 2019), Jul 2019, Toulouse, France. pp.81-90. ⟨hal-02302950⟩

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