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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 chaining versus backward chaining
  4. Declarative approaches versus procedural/OOP methods
  5. Comparison of available 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 brief overview of 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 (comprehensive practice)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow versus BPMN 2.0
    • Executing a rule set from a process
    • Rules versus 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 use by managers
    • Basic Natural Language Processing (NLP) with DSL
  7. Fusion (CPE) and 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 recompiling

Requirements

Strong programming skills in any language are highly recommended (e.g., SQL, Java, C#, VBA, etc.).

 21 Hours

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