Expert system

Expert system

Discover how machines simulate human expertise. From the logic of MYCIN to advanced Fuzzy Logic and Case-Based Reasoning, test your knowledge with our 75+ MCQ challenge.


  1. An Expert System is a branch of:

    • Robotics
    • Artificial Intelligence
    • Database Management
    • Networking

  2. Which component of an Expert System contains the domain-specific knowledge?

    • Inference Engine
    • User Interface
    • Knowledge Base
    • Blackboard

  3. The 'Inference Engine' is often referred to as the ______ of the system.

    • Memory
    • Brain/Reasoning unit
    • Data storage
    • Input device

  4. Who is the person responsible for capturing knowledge from a human expert?

    • Software Engineer
    • Knowledge Engineer
    • End User
    • Database Administrator

  5. Which was the first expert system used for chemical analysis?

    • MYCIN
    • DENDRAL
    • PROSPECTOR
    • XCON

  6. Which inference strategy starts with known facts to reach a conclusion?

    • Backward Chaining
    • Forward Chaining
    • Random Search
    • Depth First Search

  7. Backward Chaining' is also known as:

    • Data-driven reasoning
    • Goal-driven reasoning
    • Linear reasoning
    • Circular reasoning

  8. The 'Rete Algorithm' is primarily used for:

    • Data encryption
    • Efficient pattern matching in rule-based systems
    • Image rendering
    • Sorting arrays

  9. What is 'Conflict Resolution' in an Expert System?

    • Hiring new staff
    • Deciding which rule to fire when multiple rules match
    • Fixing a broken PC
    • Deleting duplicate data

  10. A 'Semantic Network' represents knowledge as:

    • A list of numbers
    • Nodes (objects) and Arcs (relationships)
    • A flat file
    • A spreadsheet

  11. Fuzzy Logic' allows an Expert System to handle:

    • Broken hardware
    • Degrees of truth (e.g., 'Very Hot' vs 'Warm')
    • Binary 0 and 1
    • Incorrect passwords

  12. In 'Case-Based Reasoning' (CBR), the system solves new problems by:

    • Writing new rules
    • Adapting solutions from similar past cases
    • Random guessing
    • Searching Google

  13. What is 'Non-monotonic Reasoning'?

    • A system that never changes
    • A system where new information can invalidate previous conclusions
    • A linear math problem
    • A one-way street

  14. Bayesian Networks' represent ______ dependencies between variables.

    • Linear
    • Probabilistic/Causal
    • Alphabetical
    • Sequential

  15. The process of 'Defuzzification' converts:

    • Fuzzy sets into crisp values
    • Code into English
    • Images into text
    • Binary into Hex