Question#1
Artificial intelligence is the study of how to make computers do tasks that _____ perform better.
a) people ✅ - Answer
b) robots
c) programs
d) algorithms

Question#2
John McCarthy defined AI as the science and engineering of making _____ machines.
a) intelligent ✅ - Answer
b) powerful
c) automated
d) programmable

Question#3
AI systems are aimed at perceiving, reasoning, learning, and also _____ solving.
a) problem ✅ - Answer
b) puzzle
c) complexity
d) information

Question#4
The term 'artificial intelligence' was officially coined at the _____ Conference in 1956.
a) Dartmouth ✅ - Answer
b) Harvard
c) Stanford
d) MIT

Question#5
Logic Theorist, the first program to prove mathematical theorems, was developed by Newell and _____.
a) Herbert A. Simon ✅ - Answer
b) John McCarthy
c) Alan Turing
d) Marvin Minsky

Question#6
Dendral and Mycin are classic examples of early _____ systems in AI.
a) expert ✅ - Answer
b) learning
c) robotic
d) vision

Question#7
The period when AI faced reduced funding and skepticism is called the AI _____.
a) winter ✅ - Answer
b) recession
c) pause
d) limbo

Question#8
Deep learning, important in image recognition, is a subfield of _____.
a) machine learning ✅ - Answer
b) symbolic computation
c) evolutionary algorithms
d) rule-based systems

Question#9
AlphaGo demonstrated a major AI achievement through the use of ____ learning.
a) reinforcement ✅ - Answer
b) unsupervised
c) supervised
d) symbolic

Question#10
In finance, AI applies natural language processing for analyzing market _____ and sentiment.
a) trends ✅ - Answer
b) shares
c) profits
d) debts

Question#11
AI-powered cobots in manufacturing are types of _____ robots.
a) collaborative ✅ - Answer
b) independent
c) autonomous
d) reactive

Question#12
One major risk in AI is perpetuating biases present in _____ data.
a) training ✅ - Answer
b) testing
c) noisy
d) raw

Question#13
Lack of transparency in AI can lead to problems with accountability and _____.
a) explainability ✅ - Answer
b) speed
c) adaptation
d) efficiency

Question#14
The PEAS model for agents includes Performance measure, Environment, Actuators, and _____.
a) Sensors ✅ - Answer
b) Speed
c) Simulators
d) Solutions

Question#15
A property of an agent, the _____ represents its current sensory input from the environment.
a) percept ✅ - Answer
b) goal
c) action
d) learning

Question#16
The environment can be deterministic or _____ depending on its predictability.
a) stochastic ✅ - Answer
b) binary
c) limited
d) dynamic

Question#17
A problem in AI is defined by its initial state, goal state, and available _____ or operators.
a) actions ✅ - Answer
b) inputs
c) agents
d) rewards

Question#18
The problem space in AI can be represented as a graph where nodes are states and edges are _____.
a) actions ✅ - Answer
b) agents
c) goals
d) rewards

Question#19
In the classic water jug problem, the goal is to measure a specific amount of water using jugs and _____ constraints.
a) capacity ✅ - Answer
b) time
c) weight
d) temperature

Question#20
In the water jug problem, the action space includes actions like filling, emptying, or _____ water between jugs.
a) pouring ✅ - Answer
b) boiling
c) shaking
d) measuring