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Course Outline

Short introduction to rule engines

  1. History of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward chaining versus backward chaining
  4. Declarative approaches versus procedural/OOP paradigms
  5. Comparison of available solutions
  6. When to utilize rule engines
  7. When to avoid rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative Fact Model versus Traditional Fact Model
  2. Executing simple rules with basic tests
  3. Authoring 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 the appropriate facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (extensive practice)

Ordering rules with BPMN

  • Salience
  • Ruleflow versus BPMN 2.0
  • Executing a ruleset 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 DSL for use by managers
  • 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. Test strategies (test per case versus test per rule)
  2. Executing tests automatically

Requirements

While not mandatory, having programming skills in any language (such as SQL, Java, C#, or VBA) is highly recommended.

 21 Hours

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