Introduction to AI
Search & Problem Solving
Logic & Reasoning
Machine Learning
100

I affirm that I will not use ChatGPT or any other generative AI tool to complete this quiz. I understand that using such tools will result in an automatic score of 0 for this exam.

Yes

100

Which reasoning form would most likely be employed in diagnosing multiple competing hypotheses from noisy symptom data?

Abductive

100

Which symbol represents implication in propositional logic


100

What are the different types of Machine Learning?

Supervised learning, Unsupervised learning, and Reinforcement learning


200

How many r's in Strawberry?

3

200

In expert systems, forward chaining starts from data and moves toward conclusions.

True

200

This is the component of a problem definition that checks whether a state meets the goal condition.

Goal Test

200

An example of unsupervised learning from the slides: grouping Netflix users by watch histories without labels using this.

k-means clustering

300

What is the match for the course definition of Artificial Intelligence (AI)

Technology enabling machines to simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy

300

A search strategy that uses a stack and explores as deep as possible is

DFS

300

Is the statement P ∧ Q → P logically valid?

Yes

300

In supervised learning, predicting a continuous value is called

Regression

400

Which option correctly describes the “500-feet view” relationship?

Artificial Intelligence > Machine Learning > Deep Learning > GenAI

400

In A* search, the evaluation function is typically

f(n) = g(n) + h(n)

400

Diagnosing multiple competing hypotheses from noisy symptom data most closely matches this reasoning form.

Abductive reasoning

400

In a simple rule-based expert system, inputs “fever” and “cough” trigger this conclusion.

“possible_flu"

500

Often cited as the “birth of AI,” this 1956 summer workshop was organized by John McCarthy and colleagues.

Dartmouth Conference

500

Greedy Best-First Search evaluates states primarily using this function.

heuristic only, h(n)

500

In expert systems, this inference method starts from known facts and applies rules to reach conclusions.

Forward chaining

500

Machine learning algorithms can be categorized as regression algorithms, classification algorithms, and ____

clustering methods

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