Question#1
The state space in the water jug problem contains all possible configurations of water levels in the jugs.
a) True ✅
b) False

Question#2
The brute-force approach is the most efficient method for solving all AI problems regardless of their complexity.
a) True
b) False ✅

Question#3
In the water jug problem, pouring water from one jug to another is considered part of the action space.
a) True ✅
b) False

Question#4
A production system in AI consists solely of production rules and does not involve a knowledge base or inference engine.
a) True
b) False ✅

Question#5
A control strategy in a production system decides what actions to take.
a) True ✅
b) False

Question#6
Frames are used as a graphical way of representing knowledge using nodes and edges.
a) True
b) False ✅

Question#7
Semantic networks represent knowledge with nodes (for concepts) and edges (for relationships).
a) True ✅
b) False

Question#8
Ontologies define a set of concepts, their properties, and their relationships within a specific domain.
a) True ✅
b) False

Question#9
Rule-based systems represent knowledge exclusively through neural networks.
a) True
b) False ✅

Question#10
Deductive reasoning in AI relies on rules and facts to draw conclusions from logically connected premises.
a) True ✅
b) False

Question#11
Inductive reasoning always guarantees the truth of the conclusion if the premises are true.
a) True
b) False ✅

Question#12
Abductive reasoning seeks to find the most plausible explanation for a set of observations.
a) True ✅
b) False

Question#13
Monotonic reasoning allows previously valid conclusions to be refuted when new information is added to the knowledge base.
a) True
b) False ✅

Question#14
Common sense reasoning is based on heuristic knowledge and experience rather than precise rules.
a) True ✅
b) False

Question#15
Non-monotonic reasoning permits conclusions to be negated by adding new knowledge.
a) True ✅
b) False

Question#16
Logic-based systems in AI do not use rules or logical statements for knowledge representation.
a) True
b) False ✅

Question#17
Knowledge graphs model entities as nodes and relationships as edges to represent interconnected knowledge.
a) True ✅
b) False

Question#18
Reinforcement learning requires an agent to always be told which action to take by a human supervisor.
a) True
b) False ✅

Question#19
Expert systems use if-then rules and the expertise of human specialists to make decisions in specific domains.
a) True ✅
b) False

Question#20
Computer vision is concerned with enabling machines to understand and analyze visual information from images or videos.
a) True ✅
b) False