AI Fundamentals Advanced Quiz 2
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Advanced Quiz 2
1. What is the "knowledge acquisition bottleneck" in expert systems?
The difficulty and time required to extract knowledge from human experts and encode it into the system
A problem with data storage
A limitation of computer speed
2. Which of these is a real-world application of multi-agent systems?
Coordinating autonomous vehicles in traffic
Drawing pictures collaboratively
Sorting emails
3. What is the main advantage of using Bayesian networks in AI?
They provide a probabilistic framework for reasoning under uncertainty
They always guarantee perfect accuracy
They are faster than neural networks
4. Which of these is a significant ethical concern in the deployment of AI systems?
Lack of transparency and accountability in automated decision-making
Using too much RAM
Too many colors in the user interface
5. What is the purpose of a "belief-desire-intention" (BDI) model in AI?
To model rational agents with beliefs about the world, desires as goals, and intentions as plans
To represent only the physical structure of robots
To optimize memory usage
6. Which of these is an example of a non-monotonic reasoning system?
A system that can withdraw conclusions when new information contradicts previous assumptions
A system that only adds new facts
A system that never changes its mind
7. What is the main purpose of "case-based reasoning" in AI?
Solving new problems by adapting solutions that were used to solve similar past problems
Storing all data in a single database
Sorting cases alphabetically
8. Which of the following best describes the "qualification problem" in AI?
The challenge of specifying all the preconditions required for an action to succeed in the real world
The challenge of earning a degree in AI
The challenge of qualifying for a competition
9. What is the main limitation of the "closed world assumption" in AI knowledge representation?
It assumes that what is not known to be true is false, which may not reflect reality
It prevents the use of neural networks
It requires infinite memory
10. Which of these is a common approach to handling uncertainty in AI reasoning?
Dempster-Shafer theory
Hash tables
Sorting algorithms
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