What is the primary role of 'Knowledge Representation' in Artificial Intelligence?
Knowledge representation structures real-world entities, rules, and relationships into formal logical systems so an AI agent can perform automated deduction and inference.
Which fundamental properties must a robust Knowledge Representation system satisfy?
According to standard AI principles, a KR system must possess representational adequacy, inferential adequacy, inferential efficiency, and acquisitional efficiency. Hence, more than one of the above is correct.
In knowledge engineering, what is the key difference between 'Declarative Knowledge' and 'Procedural Knowledge'?
Declarative knowledge represents explicit static facts, concepts, and ideas ('knowing that'), while procedural knowledge represents executable sequences of actions ('knowing how').
Which type of knowledge describes knowledge about knowledge itself (such as reliability, indexing, and reasoning strategies)?
Meta-knowledge is second-order knowledge that guides knowledge selection, evaluation of rule reliability, and control of inference engines.
In Propositional Logic, what is a 'Tautology'?
A tautology is a logically valid formula (e.g., P v ~P) that yields the truth value TRUE across every row of its truth table.