Knowledge-based systems in Artificial Intelligence: An ______ system includes both a stored knowledge base and an inference engine.
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Aexpert
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Bcenters
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Ccontrol
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DMIS
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ENone of the above
Answer
Correct Answer: expert
Explanation
Introduction / Context:Within Artificial Intelligence, an expert system is a classic form of a knowledge-based system. It encapsulates domain expertise and uses logical reasoning to reach conclusions, provide recommendations, or explain diagnoses similar to a human expert in a narrow field.
Given Data / Assumptions:
- The system uses a knowledge base containing facts and rules.
- It employs an inference engine to apply rules to known facts and derive new conclusions.
- The question asks for the label that matches this architecture.
Concept / Approach:An expert system = knowledge base + inference engine + user interface (and often an explanation facility). The knowledge base stores if-then rules, frames, or cases; the inference engine performs forward or backward chaining to infer results. This is distinct from a generic management information system (MIS) or a “control” system.
Step-by-Step Solution:
Map the architectural components to the canonical AI term.Identify “expert system” as the standardized term.Select “expert.”Verification / Alternative check:AI textbooks consistently define expert systems using these two core components, plus interfaces and explanations.
Why Other Options Are Wrong:
- Centers/control/MIS: do not denote knowledge-base + inference-engine systems.
- None of the above: incorrect because “expert” is correct.
Common Pitfalls:Assuming any rule-based automation is an expert system; true expert systems target specialized domains and include explanation facilities.
Final Answer: expert