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Course Outline

Short introduction to rule engines

  1. Short history of Expert Systems and Rules Engines
  2. What is Artificial Intelligence?
  3. Forward vs. backward chaining
  4. Declarative vs. procedural/OOP
  5. Comparison of solutions
  6. When to use rule engines?
  7. When not to use rule engines?
  8. Alternatives to rule engines

KIE

  1. Authoring Assets
  2. Workbench Integration
    • Executing rules directly from KIE
    • Deployment
  3. Decision tables
  4. Rule Templates
  5. Guided rule editor
  6. Testing
  7. Work Items
  8. Versioning and deployment
  9. A bit more about the repository (git)
  10. Developing a simple process with rules

Writing rules in Eclipse

  1. Stateless vs. Stateful sessions
  2. Selecting proper facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (plenty of them)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow vs. BPMN 2.0
    • Executing a ruleset from a process
    • Rules vs. gateways
    • Short overview of BPMN 2.0 features (transactions, exception handling)
    • 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), temporal reasoning (for events occurring after, between, etc.)
    • Fusion operators
    • Example in Event Schedules
  8. Unit testing

Optional Topics

  1. OptaPlanner
  2. jBPM
  3. Drools and integration via web services
  4. Drools integration via command line
  5. How to change rules/processes after deployment without compiling

Requirements

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

 21 Hours

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