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Article Dans Une Revue Computational Intelligence Année : 2018

Universality and prediction in business rules

Olivier Wang
  • Fonction : Auteur
Changhai Ke
  • Fonction : Auteur

Résumé

Business Rules have the form if condition then action. A Business Rules program, which can be executed by means of an interpreter, is a sequence of Business Rules. Motivated by IBM use cases, we look at the problem of setting parameter values in a given Business Rules program so it will achieve a given average goal over all possible instances. We explore the following fundamental question: is there a general learning algorithm which addresses this issue? We prove the answer is negative. On the positive side, we derive operational semantics for Business Rules programs. As a proof of concept, we show empirically that these can be used to detect potential non-termination situations.
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Dates et versions

hal-02105086 , version 1 (20-04-2019)

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Olivier Wang, Christian de Sainte Marie, Changhai Ke, Leo Liberti. Universality and prediction in business rules. Computational Intelligence, 2018, 34 (2), pp.763-785. ⟨10.1111/coin.12174⟩. ⟨hal-02105086⟩
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