Which one of the following is the ability to represent all kinds of knowledge that are needed in that domain?
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In AI, Representation Adequacy ensures that a knowledge representation scheme can express all necessary domain knowledge, making it foundational for reasoning and problem-solving.
Step 1: Understanding Knowledge Representation
In artificial intelligence, knowledge representation deals with how information is structured to enable reasoning.
Step 2: Analyzing the Concept of Representation Adequacy
- Representation Adequacy refers to the ability of a knowledge representation system to capture all types of knowledge relevant to a given domain.
- This ensures that the system can encode any required knowledge for problem-solving.
Step 3: Explanation of Options
- Option (A) Inferential Adequacy: Incorrect, as it pertains to the ability to derive new knowledge from existing information.
- Option (B) Representation Adequacy (Correct): This refers to the ability to represent all necessary knowledge in a given domain.
- Option (C) Inferential Efficiency: Incorrect, as it focuses on the speed and efficiency of reasoning rather than completeness.
- Option (D) Acquisitional Efficiency: Incorrect, as it refers to how easily new knowledge can be acquired and integrated.