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 to diagnostic and resolution of rule conflicts. Some systems can effectively verify decision model consistency and diagnose rule conflicts. But there are no practically used Business Rules (BR) products that claim that they may automatically resolve rule conflicts.

In the Part 1 of this series I described how end users can represent their rules in single-hit and multi-hit decision tables while avoiding rule conflicts. But is it possible to automatically resolve rule conflicts? I will discuss this problem below. Continue reading

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 conflicts. Some systems can effectively verify decision model consistency and diagnose rule conflicts. But there are no practically used Business Rules products that claim that they may automatically resolve rule conflicts (at least I am not aware of them).  As a result, it becomes a responsibility of users to represent rules in such a way that allows them to avoid conflicts. Continue reading

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 well. An interesting workshop “CoCoMiLe 2013 – Continue reading

How to compact large decision tables

A well-known problem with decision tables is that they frequently become too big and too difficult to manage.  It is also well-known that OpenRules utilizes Excel-based decision tables as its major representation mechanism for business rules.  So, I decided to share some methods used by our customers to make large decision tables more compact. Continue reading

Deploying OpenRules Applications on Cloud

A week ago at JavaOne Conference in San Francisco I had a chance to talk directly with several providers of cloud deployment solutions for Java applications. I was really impressed with a Ukrainian startup “Jelastic” that just won the Java Community’s version of Oscar and was endorsed by Dr. Gosling – read more here. Coming back home to NJ, I decided to try it myself. I took the existing web application that implements a popular game “Nim” using OpenRules decision tables and forms. It looks as follows:

Previously this web application was deployed at the local Tomcat, and I wanted to move it to the Jelastic’s cloud with minimal efforts.  And I had almost no problems of doing that! Now you may try to play Nim yourself from the cloud using this URL http://openrules.jelastic.servint.net/Nim/. What have I actually done?

Continue reading