Category Archives: Rule Engines

Automatically Learned Business Rules: Should We Understand Them?

Question: Should we worry that we’re building systems whose increasingly accurate decisions are based on incomprehensible foundations? I’ve just posted an article with the same name at the LinkedIn Pulse that addresses this question. It is especially important in the context of … Continue reading

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Decision “Determine a Killer of Aunt Agatha”

Could we use decision tables to represent and solve complex logical problems? An example of such problem was offered by the DMCommunity.org in the Nov-2014 Challenge called “Who Killed Agatha“.

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Resolving Conflicts among Business Rules

Contradictory business rules occur in normal business situations, and maintaining rules with exceptions is a very typical example of rule conflicts. Is it possible to automatically resolve such conflicts?

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Solving Rule Conflicts – Part 2

“The Sleep of Reason Produces Monsters”, Francisco Goya  Defeasible Logic and Business Rules with Probabilities Modern rules and decisions management systems provide effective mechanisms for development of good decision models. However, building real-world decision models people always face complex issues related … Continue reading

Posted in Constraint Programming, Decision Management, Optimization, Rule Engines, Tools and Technologies | 2 Comments

Solving Rule Conflicts – Part 1

Representing Contradictory Rules with Single-Hit and Multi-Hit Decision Tables Modern rules and decisions management systems provide effective mechanisms for development of good decision models. However, building real-world decision models people always face complex issues related to diagnostic and resolution of rule … Continue reading

Posted in Constraint Programming, Decision Management, Rule Engines, Tools and Technologies | 2 Comments

Combining Constraint Solving with Business Rules and Machine Learning – CoCoMiLe 2013

The integration of different decision making techniques finally is finding its home under the roof of the Decision Management movement. I am glad that an integrated Constraint Programming (CP), Business Rules (BR), and Machine Learning (ML) approach is gaining in popularity as … Continue reading

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Fischer vs. Kasparov vs. Karpov

On a long flight back to the US I had a few hours to kill. So, I decided to implement one of my favorite modeling tests that I used to give to my students and they always enjoyed it. This … Continue reading

Posted in Constraint Programming, Decision Management, Optimization, Rule Engines | 1 Comment