Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning

Описание: This presentation was given at the RuleML+RR2020 virtual conference.
We present cDMN, our extension to the Decision Model and Notation (DMN) standard.
This work was awarded the "Best Paper" award by the RuleML+RR2020 committee.

Visit http://www.cdmn.be for more information on cDMN.

Bram Aerts:
b[dot]aerts[at]kuleuven[dot]be
  / bram-aerts-461244a6  

Simon Vandevelde (presenter):
s[dot]vandevelde[at]kuleuven[dot]be
  / simon-vandevelde-49a07a182  

Joost Vennekens:
joost[dot]vennekens[at]kuleuven[dot]be
  / joostvennekens  

Paper abstract:
This paper describes an extension to the Decision Model and Notation (DMN) standard, called cDMN.
DMN is a user-friendly, table-based notation for decision logic.
cDMN aims to enlarge the expressivity of DMN in order to solve more complex problems, while retaining DMN’s goal of being readable by domain experts.
We test cDMN by solving the most complex challenges posted on the DM Community website.
We compare our own cDMN solutions to the solutions that have been submitted to the website and find that our approach is competitive, both in readability and compactness.
Moreover, cDMN is able to solve more challenges than any other approach.

This research received funding from the Flemish Government under the “Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen” programme.