BE - Artificial Intelligence

Production System Characteristics

A Production System is a rule-based AI system that uses "if-then" rules to solve problems. Think of it as a set of instructions that guide decision-making.

Key Components:

1. Rule Base - Collection of if-then rules
2. Working Memory - Current facts/state of the problem
3. Control Strategy - Decides which rule to apply when
4. Rule Interpreter - Executes the selected rules

Main Characteristics:

1. Modularity

• Rules are independent of each other
• Easy to add, remove, or modify rules
• Example: Adding a new traffic rule to a driving system

2. Transparency

• Easy to understand how decisions are made
• Can trace which rules led to what conclusion
• Example: "If temperature > 100°F, then boil water" - clear logic

3. Knowledge Representation

• Uses IF-THEN format:
  • IF (condition) THEN (action)
  • Example: IF patient has fever AND cough THEN suspect flu

4. Separation of Knowledge and Control

• Knowledge (rules) is separate from
• Control (strategy for applying rules)
• Makes system flexible and maintainable

5. Incremental Reasoning

• Works step-by-step
• Applies one rule at a time
• Builds solution gradually

6. Bidirectional Reasoning

• Forward Chaining: Start with facts, reach goal
• Backward Chaining: Start with goal, find supporting facts

7. Conflict Resolution

• When multiple rules apply, decides which one to use
• Strategies: priority order, most specific rule, recency

8. Pattern Matching

• Matches current facts with rule conditions
• Finds applicable rules efficiently