One of the most important features of Drools is the possibility of evaluating rules in an interactive and conversational way, allowing to use inference to make iterative changes to facts over time and preserving the state of a session among different invocations. Actually this characteristic is so widely used, for instance when performing complex eventRead more →
The Drools team is happy to announce that our rule engine reached the 8 Final release. Drools 8-series is a natural evolution of the 7.x-stream, incorporating many features and lessons learned integrating with Kogito and many cloud-native use cases. The purpose of this article is to give a high level overview of the features introducedRead more →
Drools is a hybrid rule engine, allowing both data-driven forward chaining (rules match facts in the working memory producing other facts that in turn activate other rules) and goal-driven backward chaining (queries match facts in the working memory, eventually invoking other queries to retrieve them). This second usage pattern is also available in streaming modeRead more →
Log4J 2.x is a widely used Java logging framework. Unfortunately a few days ago it has been exposed to an important security vulnerability (“Log4Shell”, CVE-2021-44228). The whole KIE ecosystem (Kogito, Drools, OptaPlanner and jBPM) moved to SLF4J, a different logging facade with Logback as default implementation, a few years ago and it is therefore notRead more →
The goal of this article is to demonstrate how to expose a Drools stateless rules evaluation in a Quarkus REST endpoint and then how to migrate it to Kogito in order to fully leverage Quarkus features and finally how to embrace the Kogito’s programming model based on rule units. Overview In Drools a stateless rulesRead more →
Introducing Drools executable model During the development of Drools 7.x we created the executable model with the goal of providing a pure Java-based representation of a rule set. One of the main drives for its introduction was to speed up the creation of a KieContainer starting from a compiled kjar. In fact what Drools 6.xRead more →
“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.” – Edsger W. Dijkstra Rule-based artificial intelligence (AI) is often overlooked, possibly because people think it’s only useful in heavyweight enterprise software products. However, that’s not necessarily true. Simply put, a rule engine isRead more →
Are you interested to know more on how Drools provides an open source execution engine with full DMN support at conformance level 3? This is your last change to register for tomorrow’s free webinar presented by Phil Simpson and Denis Gagne on October 18 at 1pm ET. Don’t miss it!
Rule engines are a powerful yet flexible tool to define and implement huge sets of business requirements and constraints. While Drools Rule Language (DRL) may be appealing to define business rules for technically savvy domain experts, a new visual based standard has emerged in the Decision Management space to bridge the gap between technical andRead more →
Overview The purpose of the executable model is to provide a pure Java-based representation of a rule set, together with a convenient Java DSL to programmatically create such model. The model is low level and designed for the user to provide all the information it needs, such as the lambda’s for the index evaluation. ThisRead more →
