Expert systems operate primarily through:

Question

BlackTom AI · Accepted Answer

Expert systems rely on rule-based reasoning: they store domain expertise as explicit IF–THEN rules and use an inference engine to draw conclusions from facts.

1) Relevant knowledge points and concepts
- Expert system: a type of AI that captures specialist knowledge in a formal representation (knowledge base) and applies it to solve problems.
- Knowledge base: facts and rules (commonly IF condition THEN action/conclusion).
- Inference engine: the mechanism that matches facts to rule conditions and derives new facts or recommendations, using methods like forward chaining (data-driven) or backward chaining (goal-driven).

2) Step‑by‑step reasoning process
- The system is given facts (e.g., symptoms).
- The inference engine scans the rule set to find rules whose conditions match those facts (pattern matching).
- Matching rules fire and produce conclusions or new facts.
- Conflict resolution chooses which rule to apply if multiple apply.
- The engine repeats chaining until a final diagnosis or decision is reached.

3) Intermediate “calculation” steps (conceptual)
- Fact set = {f1, f2, …}; Rule r: IF f1 AND f3 THEN conclusion C.
- Match: check each rule condition against the fact set.
- If matched, assert C into fact set; continue until no new facts.

4) Why answer (a) is correct
This description exactly matches the operational core of classical expert systems: explicit rules + inference mechanisms. The rule-based architecture is how these systems emulate expert decision processes and provide explanations (traceable rule firings).

5) Why other options are incorrect
- (b) human supervision only: Expert systems may involve humans in knowledge acquisition or oversight, but they operate autonomously using encoded rules rather than relying solely on human control.
- (c) random decision algorithms: Randomness is not how expert systems reach expert-like conclusions; they use deterministic logic-based inference.
- (d) crowd-sourced intelligence: Crowdsourcing can supply data or opinions but is not the defining operational mechanism; expert systems use formalized expert knowledge, not collective crowd votes.

Conclusion: Based on the concepts of knowledge base and inference engine, the correct answer is a. rule-based reasoning and inference, which matches the provided answer.

Expert systems operate primarily through:单项选择题

类似问题

Which of the following is a DISADVANTAGE of Expert Systems?

Which of the followings are the reason behind the usage of Expert System?i. To preserve knowledge.ii. To completely replace the human experts. iii. To train new employees.iv. To help in emergency situations.

Which of the following is not a true statement about expert systems?

Which of the following is not a limitation of expert systems?

Which of the following represents knowledge as a set of rules?

Expert systems are able to explain why they arrive at a particular solution.

Which of the following best explains why expert systems can outperform human experts in certain tasks?

An AI system designed to diagnose diseases using predefined rules is an example of:

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