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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 approaches
  5. Comparison of solutions
  6. When to use rule engines?
  7. When not to use rule engines?
  8. Alternatives to rule engines

KIE

  1. Declarative vs. Traditional Fact Model
  2. Executing simple rules with simple tests
  3. Authoring Assets
  4. Decision tables
  5. Rule Templates
  6. Guided rule editor
  7. Testing, limits, and benefits
  8. Developing simple processes 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 (lots of them)

Ordering rules with BPMN

  • Salience
  • Ruleflow vs. BPMN 2.0
  • Executing rule sets from a process
  • Rules vs. gateways
  • Short overview of BPMN 2.0 features (transactions, exception handling)
  • Comprehensive declarative business logic in Drools

Domain Specific Languages (DSL)

  • Creating new languages
  • Preparing DSL to be used by managers
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for writing DSL from rules
  • Strategies for writing rules from DSL written by analysts

Unit testing

  1. Test strategies (test per case or per rule)
  2. Executing tests automatically

Requirements

While not mandatory, strong programming skills in any language (such as SQL, Java, C#, VBA, etc.) are highly recommended.

 21 Hours

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