Introduction to Computing MCQs with Answers
Practice important Introduction to Computing MCQs with answers and explanations.
Multiple Choice Questions
Q2371: What are actuators in an agent used for?
- A: Affecting the environment
- B: Receiving data from sensors
- C: Analyzing data for patterns
- D: Storing information
View Answer
A
Q2372: What level of response involves predetermined reactions to data?
- A: Reflex action
- B: Goal-directed behavior
- C: Learning procedural knowledge
- D: Learning declarative knowledge
View Answer
A
Q2373: How does an agent exhibit intelligent behavior?
- A: By rationally responding to data received through sensors
- B: By performing repetitive actions without data
- C: By operating without any sensors
- D: By responding randomly to inputs
View Answer
A
Q2374: What is required for goal-directed behavior in an agent?
- A: Formulating a plan of action or selecting the best action
- B: Immediate reflex actions
- C: Random responses
- D: Fixed pre-programmed responses
View Answer
A
Q2375: What is the purpose of learning procedural knowledge in agents?
- A: To improve abilities through trial and error
- B: To store additional facts about the environment
- C: To perform fixed tasks with efficiency
- D: To memorize specific responses
View Answer
A
Q2376: What kind of knowledge does learning declarative knowledge involve?
- A: Expanding or altering the "facts" in the agent's knowledge base
- B: Improving physical actions through practice
- C: Randomly generating new actions
- D: Understanding sensor data more deeply
View Answer
A
Q2377: What does an agent need to "understand" stimuli from its sensors?
- A: The ability to extract information from the data
- B: The ability to ignore irrelevant data
- C: The ability to produce random responses
- D: The ability to act without sensors
View Answer
A
Q2378: Which technology might be used to determine responses from a gyroscope?
- A: Encoding signals for calculations
- B: Ignoring sensor data
- C: Generating random responses
- D: Storing data in a physical format
View Answer
A
Q2379: What is an example of a higher level of response in an agent?
- A: Adjusting actions based on knowledge of the environment
- B: Reacting immediately without processing data
- C: Using pre-set actions without considering the context
- D: Ignoring changes in the environment
View Answer
A
Q2380: What is a primary challenge in creating intelligent agents?
- A: Storing, updating, accessing, and applying real-world knowledge
- B: Ensuring agents only use reflex actions
- C: Limiting agents to fixed responses
- D: Preventing agents from learning
View Answer
A