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

Question

BlackTom AI · Accepted Answer

Expert systems use a knowledge base (rules, facts) plus an inference engine (forward/backward chaining or production systems) to derive conclusions; the inference engine routinely evaluates and fires multiple rules through chaining and conflict-resolution strategies.

1) Relevant concepts
- Knowledge base: encoded expert rules and facts, which can be inconsistent, incomplete, or poorly organized.
- Inference engine: uses forward or backward chaining and conflict resolution to select and execute applicable rules; production systems (e.g., OPS5) and pattern-matching algorithms (e.g., Rete) enable evaluating many rules efficiently.
- Knowledge acquisition cost and tacit knowledge: extracting expert knowledge is time-consuming because experts may not be able to articulate all their reasoning.

2) Step-by-step reasoning
- The statement “They cannot consider multiple rules at a single time” implies an inability to evaluate or apply more than one rule concurrently or in a reasoning cycle.
- In practice, inference engines routinely match many rule antecedents against working memory, place all matching rules in a conflict set, and then use conflict-resolution to choose firing order; some systems can fire multiple rules in a cycle or run in parallel.
- Therefore, the statement is false — expert systems can and do consider multiple rules.

3) Why the correct answer is correct
- Because modern expert-system architectures explicitly support evaluating many rules and deciding which to fire, the claim that they “cannot consider multiple rules at a single time” is not a valid limitation. It misstates how inference engines operate.

4) Why the other options are limitations
- “The knowledge base can be chaotic.” True: knowledge bases may be inconsistent, redundant, or poorly structured, complicating maintenance.
- “They do not scale well to deal with very large data sets.” True: rule-based systems can perform poorly as rule count or data size grows, causing combinatorial explosion.
- “They are expensive to build.” True: knowledge engineering, expert time, and validation are costly.
- “Experts are often unable to explain how they make decisions.” True: tacit knowledge and unarticulated expertise hinder knowledge capture.

Conclusion: The option “They cannot consider multiple rules at a single time.” is not a limitation of expert systems, matching the provided correct answer.

Which of the following is not a limitation of expert systems? 单项选择题

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