Expert System Lecture Questions PDF

Expert System Lecture Questions Multiple Choice Questions 1. What is the first step in creating an expert system? 1. Knowledge Acquisition 2. Knowledge Representation 3. Data Analysis 4. System Testing Answer: Knowledge Acquisition 2. What is knowledge acquisition? 1. The process of ex...

Expert System Lecture Questions Multiple Choice Questions 1. What is the first step in creating an expert system? 1. Knowledge Acquisition 2. Knowledge Representation 3. Data Analysis 4. System Testing Answer: Knowledge Acquisition 2. What is knowledge acquisition? 1. The process of extracting knowledge from an expert 2. Programming the knowledge base 3. Testing knowledge representation 4. Evaluating data structures Answer: The process of extracting knowledge from an expert 3. Which of the following is NOT a source of knowledge? 1. Books 2. People's expertise 3. Internet 4. Machinery Answer: Machinery 4. Which type of knowledge involves rules with no explanations? 1. Shallow knowledge 2. Deep knowledge 3. Meta-knowledge 4. Procedural knowledge Answer: Shallow knowledge 5. What type of knowledge is described as autobiographical? 1. Declarative 2. Episodic 3. Procedural 4. Semantic Answer: Episodic 6. Which is an example of knowledge representation? 1. Data mining 2. Frames 3. Coding 4. Schema transformation Answer: Frames 7. What type of inference engine is often used in real-time expert systems? 1. Backward chaining 2. Data mining 3. Forward chaining 4. Hybrid chaining Answer: Forward chaining 8. What does the knowledge engineer do? 1. Represents data 2. Mediates between expert and knowledge base 3. Tests knowledge quality 4. Develops user interfaces Answer: Mediates between expert and knowledge base 9. Which is a tool used in XPS development? 1. HTML  2. JavaScript 3. CLIPS 4. SQL Answer: CLIPS 10. Which method involves reasoning from a hypothesis? 1. Backward chaining 2. Data mining 3. Forward chaining 4. Knowledge representation Answer: Backward chaining True/False Questions 1. Knowledge acquisition is a straightforward process. - False 2. Meta-knowledge is knowledge about knowledge itself. - True 3. An inference engine typically requires rules in a knowledge base. - True 4. Expert systems can only use forward chaining. - False 5. A knowledge base only contains facts about a domain. - False 6. Semantic networks are used for representing relationships. - True 7. Expert systems require user input to function. - True 8. Knowledge representation includes methods like frames and rules. - True 9. Knowledge acquisition has five stages. - True 10. Declarative knowledge is also called procedural knowledge. - False Completion Questions 1. The first step in knowledge acquisition is ____. Answer: Identification 2. Procedural knowledge tells us ____. Answer: how to make inferences 3. Shallow knowledge is limited by ____ rules. Answer: IF-THEN 4. A ____ interface allows users to interact with an expert system. Answer: User 5. Semantic networks represent ____ among entities. Answer: relationships 6. ____ is used in rule-based expert systems to manage condition-action rules. Answer: Inference engine 7. The knowledge engineer often performs ____ with experts to elicit information. Answer: interviews 8. Forward chaining is also known as ____ reasoning. Answer: data-driven 9. ____ is a method where a set of rules governs the conversion of strings. Answer: Production systems 10. Episodic knowledge is described as ____ knowledge. Answer: autobiographical