Unit 13 - Artificial Intelligence

Which scenario best illustrates the concept of generalization in AI?

• A program recognizes "cat" in all images it's shown.

• A program generates the past tense of "jump" without seeing it before.

• A program calculates the same math problem repeatedly without variation.

• A program stores solutions to chess puzzles and reuses them.

Which of the following is a key limitation of inductive reasoning in AI?

• It cannot process large datasets.

• It requires the truth of premises to guarantee conclusions.

• It makes predictions based on incomplete certainty.

• It relies solely on sensory input.

Why is Artificial General Intelligence (AGI) considered a "hypothetical" concept?

• AGI systems cannot process human language.

• AGI systems lack physical forms to interact with the environment.

• Current AI lacks the ability to think abstractly or reason across domains.

• AGI systems are limited to specific problem-solving tasks.

What distinguishes human intelligence from the behavior of the digger wasp?

• Memory retention

• Instinct-driven repetition

• Adaptability to new situations

• Execution of predefined actions

The process of making predictions or forming hypotheses based on patterns in data is known as ____.

General-purpose problem-solving methods in AI are superior to special-purpose methods in all scenarios.

• True

• False

A productive language system can formulate unlimited sentences but still lacks true understanding.

• True

• False

Deductive reasoning in AI guarantees absolute conclusions but may lack relevance to specific problems.

• True

• False

Narrow AI systems, like ChatGPT, demonstrate human-like reasoning and problem-solving across domains.

• True

• False

Match the following concepts with their characteristics:

• Incremental reduction of goal difference

• Deductive reasoning

• Predictions with inherent uncertainty

• Inductive reasoning

• Generalizing from specific instances to form a conclusion

• Means-end analysis

• Memorization of information without understanding

• Rote learning