Which property is considered as not a desirable property of a logical rule-based system?

In the context of an artificial intelligence interview, the correct answer to the question “Which property is considered as not a desirable property of a logical rule-based system?” would likely be “Brittleness.”

Explanation:

1. Brittleness: A logical rule-based system can become brittle if it is overly reliant on specific rules and lacks flexibility to adapt to new situations or exceptions. Brittleness refers to the system’s inability to gracefully handle unexpected inputs or changes in the environment, leading to errors or failures.
2. Desirable Properties: Desirable properties of a logical rule-based system include transparency (the ability to understand and interpret the reasoning behind decisions), modularity (the ability to break down complex systems into smaller, more manageable components), and scalability (the ability to handle large amounts of data or complexity efficiently).
3. Examples of Brittleness: Brittleness can manifest in various ways, such as the inability to handle noisy or incomplete data, susceptibility to errors when faced with edge cases not covered by existing rules, and difficulties in updating or maintaining the system without causing unintended side effects.

In summary, while logical rule-based systems offer advantages such as transparency and modularity, brittleness is considered a significant drawback as it undermines the system’s robustness and adaptability. Therefore, it is not a desirable property in the context of such systems.