The correct answer is D. All of the mentioned.
A good system for the representation of knowledge in a particular domain should possess the following properties:
- Representational Adequacy: The system should be able to represent all of the knowledge that is relevant to the domain.
- Inferential Adequacy: The system should be able to infer new knowledge from the knowledge that it already has.
- Inferential Efficiency: The system should be able to infer new knowledge efficiently.
Representational adequacy is important because it ensures that the system can represent all of the knowledge that is relevant to the domain. If the system cannot represent all of the knowledge, then it will not be able to make accurate inferences.
Inferential adequacy is important because it ensures that the system can infer new knowledge from the knowledge that it already has. If the system cannot infer new knowledge, then it will not be able to learn or adapt to new situations.
Inferential efficiency is important because it ensures that the system can infer new knowledge quickly and easily. If the system is not efficient, then it will be difficult to use and will not be able to keep up with the pace of change in the world.
All of these properties are important for a good system for the representation of knowledge in a particular domain.