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Course Outline

Brief introduction to rule engines

  1. Historical overview of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward chaining versus backward chaining
  4. Declarative programming versus procedural/OOP approaches
  5. Comparison of available solutions
  6. When to utilize rule engines
  7. When rule engines are not the right choice
  8. Alternatives to rule engines

KIE

  1. Authoring assets
  2. Integration with Workbench
    • Executing rules directly from KIE
    • Deployment procedures
  3. Decision tables
  4. Rule templates
  5. Guided rule editor
  6. Testing methodologies
  7. Work items
  8. Versioning and deployment
  9. Insights into repository management (Git)
  10. Developing a simple process with rules

Writing rules in Eclipse

  1. Stateless versus stateful sessions
  2. Selecting appropriate facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (extensive practice)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow versus BPMN 2.0
    • Executing rule sets from a process
    • Rules versus gateways
    • Overview of BPMN 2.0 features (transactions, exception handling)
    • Implementing comprehensive declarative business logic in Drools
  6. Domain Specific Languages (DSL)
    • Creating new languages
    • Preparing DSL for management use
    • Basic Natural Language Processing (NLP) with DSL
  7. Fusion (CPE) and temporal reasoning (handling events occurring after, between, etc.)
    • Fusion operators
    • Example: Event Schedules
  8. Unit testing

Optional Topics

  1. OptaPlanner
  2. jBPM
  3. Drools integration via web services
  4. Drools integration via command line
  5. Updating rules/processes post-deployment without recompilation

Requirements

Programming proficiency in any language is strongly recommended (e.g., SQL, Java, C#, VBA, etc.).

 21 Hours

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