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    Question

    In intelligent systems, which of the following is a key

    characteristic of an expert system?
    A Random decision-making Correct Answer Incorrect Answer
    B Ability to learn from mistakes Correct Answer Incorrect Answer
    C Use of rules for decision-making Correct Answer Incorrect Answer
    D Real-time feedback processing Correct Answer Incorrect Answer
    E Natural language understanding Correct Answer Incorrect Answer

    Solution

    Expert systems are designed to mimic the decision-making ability of a human expert by using a set of rules (often called knowledge bases) to analyze information. These rules are based on domain-specific knowledge, enabling the system to provide advice, solve problems, or make decisions in specialized fields such as medical diagnosis or financial planning. Random decision-making : Expert systems do not make decisions randomly; they are rule-based. Ability to learn from mistakes : This is more characteristic of machine learning, not expert systems. Real-time feedback processing : While some systems may have real-time capabilities, this is not the defining feature of expert systems. Natural language understanding : This is more related to natural language processing (NLP) and is not the main characteristic of expert systems.

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