6.3 Artificial Intelligence Cambridge IGCSE 0478

What is the primary goal of Artificial Intelligence (AI)?

• To simulate human intelligence in machines.

• To replace human decision-making entirely.

• To generate random outputs without rules.

• To store and manage large amounts of data.

Which of the following is NOT a characteristic of AI?

• The ability to experience emotions like humans.

• The ability to learn and adapt over time.

• The ability to reason using logical rules.

• The collection and processing of data for decision-making.

What is the role of the inference engine in an expert system?

• It applies rules to the knowledge base to make decisions.

• It stores data and facts about a specific domain.

• It allows users to interact with the system.

• It collects new data from external sources.

What does machine learning allow an AI system to do?

• Improve performance by learning from data.

• Store large amounts of information without processing it.

• Function without any predefined rules.

• Make decisions based purely on random guesses.

Which of the following is a key difference between expert systems and machine learning?

• Expert systems rely on predefined rules, while machine learning adapts from data.

• Expert systems continuously modify their rule base, while machine learning does not.

• Machine learning systems do not require any data to function.

What is the knowledge base in an expert system?

• A collection of facts and data about a specific domain.

• The interface that allows users to input data.

• A list of actions that AI systems perform automatically.

• The hardware that runs the AI software.

Which of these is an example of supervised learning in AI?

• Training a model with labeled data to classify images.

• Allowing an AI to find hidden patterns without labeled data.

• Using random inputs to generate unpredictable outputs.

• Developing AI that does not require any prior training.

What type of AI learns by interacting with an environment and receiving rewards or penalties?

• Reinforcement learning.

• Supervised learning.

• Unsupervised learning.

• Expert system learning.

What is a key limitation of an expert system?

• It cannot learn or adapt beyond its predefined rules.

• It requires massive amounts of data to function.

• It does not follow any logical decision-making process.

• It is completely autonomous without human intervention.

In which field is AI commonly used?

• Medical diagnosis, autonomous vehicles, and speech recognition.

• Water purification, chemical bonding, and paper manufacturing.