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Course Outline

Short introduction to rule engines

  1. Brief history of Expert Systems and Rules Engines
  2. Understanding Artificial Intelligence
  3. Forward versus backward chaining
  4. Declarative versus procedural/object-oriented approaches
  5. Comparison of available solutions
  6. When to utilise rule engines
  7. When to avoid rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative versus traditional fact models
  2. Executing simple rules with basic tests
  3. Creating assets
  4. Decision tables
  5. Rule templates
  6. Guided rule editor
  7. Testing, limitations, and benefits
  8. Developing simple processes with rules

Writing rules in Eclipse

  1. Stateless versus stateful sessions
  2. Selecting appropriate facts
    • Basic operators and Drools-specific operators
    • Basic aggregate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (substantial practical work)

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)
  • Comprehensive declarative business logic in Drools

Domain Specific Languages (DSL)

  • Creating new languages
  • Preparing DSLs for management use
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for writing DSL from rules
  • Strategies for writing rules from DSL authored by analysts

Unit testing

  1. Testing strategies (testing per case or per rule)
  2. Automating test execution

Requirements

While not mandatory, having programming skills in any language is highly recommended (e.g., SQL, Java, C#, VBA, etc.).

 21 Hours

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