Show Table of Contents Hide Table of Contents English 日本語 English Multi-page HTML Single-page HTML PDF ePub Designing a decision service using DRL rulesPreface1. Rule-authoring assets in Red Hat Decision Manager2. DRL (Drools Rule Language) rules3. Data objects3.1. Creating data objects4. Creating DRL rules in Decision Central4.1. Adding WHEN conditions in DRL rules4.2. Adding THEN actions in DRL rules4.2.1. Rule attributes5. Executing rules6. Other methods for creating and executing DRL rules6.1. Creating and executing DRL rules in Red Hat JBoss Developer Studio6.2. Creating and executing DRL rules using Java6.3. Creating and executing DRL rules using Maven6.4. Executable rule models6.4.1. Embedding an executable rule model in a Maven project6.4.2. Embedding an executable rule model in a Java application7. Example decisions in Red Hat Decision Manager for an IDE7.1. Importing and executing Red Hat Decision Manager example decisions in an IDE7.2. Hello World example decisions (basic rules and debugging)7.3. State example decisions (forward chaining and conflict resolution)7.4. Fibonacci example decisions (recursion and conflict resolution)7.5. Pet Store example decisions (agenda groups, global variables, callbacks, and GUI integration)7.6. Honest Politician example decisions (truth maintenance and salience)7.7. Sudoku example decisions (complex pattern matching, callbacks, and GUI integration)7.8. Conway’s Game of Life example decisions (ruleflow groups and GUI integration)7.9. House of Doom example decisions (backward chaining and recursion)8. Next stepsA. Versioning informationLegal Notice Designing a decision service using DRL rules Red Hat Decision Manager 7.2Red Hat Customer Content Servicesbrmsemail@example.comLegal NoticeAbstract This document describes how to design a decision service using DRL rules in Red Hat Decision Manager 7.2. Preface Where did the comment section go?Red Hat's documentation publication system recently went through an upgrade to enable speedier, more mobile-friendly content. We decided to re-evaluate our commenting platform to ensure that it meets your expectations and serves as an optimal feedback mechanism. During this redesign, we invite your input on providing feedback on Red Hat documentation via the discussion platform.