Test 1 and 2 (Ch. 1-3)

Question 1

A rational agent must always make decisions that are optimal given its current knowledge, T/F?

Answer 1

True

Question 2

A partially observable environment is one where the agent has the necessary information about the state of the environment, T/F?

Answer 2

False

Question 3

A table-driven agent is highly adaptable to new situations, T/F?

Answer 3

False

Question 4

In a semi-dynamic environment, the state of the environment can change while the agent is deliberating, T/F?

Answer 4

False

Question 5

An autonomous agent relies entirely on pre-programmed rules without learning from its environment, T/F?

Answer 5

False

Question 6

What is an important property of a goal-based agent?

Answer 6

It plans actions based on future goals

Question 7

What kind of environment is most suitable for a utility-based agent?

Answer 7

A dynamic and partially observable environment

Question 8

Do model-based reflex agents require current percepts to function?

Answer 8

Yes, but they also keep a percept history

Question 9

Which of the following is required for a simple reflex agent to operate effectively?

Answer 9

Predefined condition-action rules

Question 10

What best describes the goal of “thinking like a human?”

Answer 10

Creating models that mimic human thought processes and decision-making

Question 11

A chess-playing AI that evaluates possible moves and selects the best one based on logic and probability is an example of:

Answer 11

Thinking rationally

Question 12

An AI system that drives a car by observing the environment and making decision to safely navigate traffic is an example of:

Answer 12

Acting rationally

Question 13

General Problem Solvers (GPS) are best categorized under the AI approach of:

Answer 13

Thinking humanly

Question 14

Which agent type would struggle in a non-deterministic environment?

Answer 14

Simple reflex agent

Question 15

What is the primary objective of the Turing Test?

Answer 15

To assess a machine’s ability to exhibit intelligent behavior indistinguishable from a human

Question 16

What best describes a situation involving a known environment in AI?

Answer 16

An AI agent playing a board game with predefined rules and a fixed board layout

Question 17

What is the environmental description of playing soccer?

Answer 17

Partially observable, stochastic, sequential, semi-dynamic, continuous, multi-agent

Question 18

What is an essential component for passing the Total Turing Test that is not required for the standard Turing Test?

Answer 18

Vision and robotics

Question 19

A _____ environment requires the agent to account for uncertainty in its decision-making process

Answer 19

Stochastic

Question 20

An agent’s _____ is the abstract mathematical representation of its behavior, while the _____ is the concrete implementation

Answer 20

Function, program

Question 21

A(n) _____ agent learns from its environment and adapts its behavior over time

Answer 21

Learning

Question 22

Consider a finite, acyclic search space where DFS is guaranteed to eventually find a solution and the root is not a goal. In this situation, IDS will always explore more nodes than depth first, T/F?

Answer 22

False

Question 23

If h1(s) and h2(s) are two admissible A* heuristics, then their sum h(s) = h1(s) + h2(s) is also admissible, T/F?

Answer 23

False

Question 24

What’s an incomplete algorithm?

Answer 24

DFS, if the search tree is infinite

Question 25

What is the size of the search space in the 8-puzzle problem?

Answer 25

9!/2