Untitled Presentation

Multiple Choice

What is the main focus of Artificial Intelligence as described in the introduction?

• Understanding human behavior

• Building intelligent entities

• Developing computer hardware

• Creating software applications

Multiple Select

To pass total Turing test, a system needs

• Vision to perceive objects

• Robots to manipulate

• Cognitive knowledge

• All the above are true

Multiple Choice

What are the main components of artificial intelligence as mentioned in the text?

• Philosophy, Mathematics, and Psychology

• Physics, Chemistry, and Biology

• Sociology, Anthropology, and History

• Art, Music, and Literature

Fill in the Blank

Fill in the blank: The early development of Artificial Intelligence was influenced by the work of McCulloh & Pitts on ___ neurons.

Open Ended

Explain the term 'Artificial Intelligence' and provide examples of its subfields.

Open Ended

What is the role of sensors and actuators in intelligent agents?

Multiple Choice

What are the performance measurement criteria for an agent, as mentioned in the text?

• Amount of dirt cleaned

• Time taken

• Energy consumption

• All of the above

Open Ended

Explain the concept of rationality in intelligent agents as described in the text.

Fill in the Blank

Fill in the blank: The main components of an intelligent agent are ___, Environment, and Actuators.

Multiple Choice

What is the main function of an agent in the context of artificial intelligence?

• To perceive the environment

• To act on the environment

• To learn from experiences

• To collect information

Multiple Choice

Which is the example of Thinking rationally?

• Cognitive modeling approach

• Turing test approach

• “Law of thought” approach

• Rational agent approach

Multiple Select

What are the aspects of the environment that intelligent agents can be evaluated on?

• Fully Observable vs Partially Observable

• Deterministic vs Stochastic

• Episodic vs Sequential

• Static vs Dynamic

Multiple Choice

What are the components of the PEAS framework for intelligent agents?

• Performance Measure

• Environment

• Actuator

• Sensor

Multiple Choice

What are the components of the agent-based model as depicted in the diagram?

• Sensors

• Actuators

• Environment

• All of the above

Multiple Choice

Which rule is applied for the Simple reflex agent?

• Condition-action rule

• Simple-action rule

• Simple &Condition-action rule

• Model based rule

Fill in the Blank

Fill in the blank: Utility-based agents evaluate actions based on their ___ in the environment.

Multiple Choice

What is the main difference between goal-based agents and utility-based agents?

• Goal-based agents focus solely on achieving a specific goal.

• Utility-based agents consider multiple factors to determine the best action.

• Goal-based agents do not require information about the current state.

• Utility-based agents are less efficient than goal-based agents.

Fill in the Blank

Fill in the blank: The agent interacts with the environment through ___ and actuators.

Open Ended

Explain the role of the performance element in a learning agent.

Multiple Choice

What are the main elements of a learning agent as depicted in the diagram?

• Critic

• Sensors

• Actuators

• Learning element

Multiple Choice

What are the objectives of this module on problem-solving with searching strategies?

• To understand types of problems

• To formulate problems

• To know examples of problem-solving

• To learn about informed search strategies

Multiple Choice

What is the goal test for the robotic assembly?

• complete assembly

• check joint angles

• move robot joints

• test robot speed

Multiple Choice

What are the actions that can be performed in the 8-Queens problem?

• move, left, right, up, down

• move, jump, left, right

• move, up, down, diagonal

• move, rotate, left, right

Multiple Choice

What is the goal state in the 8-puzzle problem?

• 7 2 4 1 2 3 4 5 6

• 1 2 3 4 5 6 7 8

• 3 4 5 6 7 8 1 2

• 1 2 3 4 5 6 8 7

Multiple Choice

What is the purpose of the function Tree-Search in the context of search algorithms?

• To return a solution or failure

• To expand nodes in the search tree

• To initialize the search tree

• To remove nodes from the fringe

Open Ended

List the five techniques that are included in uninformed search strategies.

Open Ended

What is the implementation of Breadth-first search (BFS)?

Multiple Choice

What are the dimensions used to evaluate an uninformed search strategy?

• Completeness

• Time and space complexity

• Optimality

• All of the above

Multiple Choice

What is the time complexity of BFT? (v– number of vertices, e – number of edges)

• O(e)

• O(v*e)

• O(v + e)

• O(v)

Multiple Choice

The data structure used for Depth First Algorithm is

• STACK

• QUEUE

• BOTH STACK & QUEUE

• NONE OF THESE

Multiple Choice

What does the Depth-First Search (DFS) algorithm search for?

• Unexpanded nodes

• Expanded nodes

• Optimal solutions

• All nodes

Multiple Choice

What is the time complexity of the Uniform Cost Search (UCS) algorithm?

• O(b^d)

• O(b^d + b^(d-1))

• O(b^(d+1))

• O(b^d + b^(d-1) + 1)

Open Ended

What is the principle of Iterative Deepening Search (IDS) as shown in the image?

Open Ended

Explain the significance of the 'Optimal' criterion in the context of search strategies as depicted in the image.

Fill in the Blank

Fill in the blank: The space complexity of Depth-Limited search is O(b^___).

Multiple Choice

What is the time complexity of the Breadth-First search as per the table in the image?

• O(b^d)

• O(b^(d+1))

• O(b^d)

• O(b^(c*/l))

Multiple Choice

What are the properties of Iterative Deepening Search (IDS) as shown in the image?

• Complete

• Optimal

• Space

• Time

Multiple Choice

Linear Search is faster than Binary search

• TRUE
• FALSE
• It depends on the scenario

Open Ended

Formulate the travel problem from Arad to Bucharest! Design the search tree for this problem using five uninformed search strategies, then compare the total step costs!

Multiple Choice

Apa itu pemrograman?

• proses penerjemahan dari bahasa mesin ke bahasa manusia

• Proses penerjemahan dari bahasa manusia ke bahasa mesin

• Proses pembuatan program dengan menggunakan bahasa pemrograman

• Proses perhitungan yang dilakukan oleh program diterjemahkan ke dalam bahasa manusia

Multiple Choice

what is programming?

• translation process from machine language to human language

• The process of translating from human language to machine language

• The process of creating a program using a programming language

• The calculation processes carried out by the program are translated into human language

Multiple Choice

You are at the yellow arrow, pointing in the direction indicated. How would you move to fill in the 2 black squares?

• Straight, Turn right, Straight x 1, Fill Square, Straight x 2, Turn left, Straight x 1, Fill Square

• Straight x 2, Turn right, Straight x 1, Fill Square, Straight x 2, Turn left, Straight x 1, Fill Square

• Straight x 2, Turn right, Straight x 1, Fill Square, Straight x 2, Turn right, Straight x 1, Fill Square

• Straight x 2, Turn right, Straight x 1, Fill Square, Straight x 2, Turn left, Straight x 2, Fill Square

Multiple Choice

What methods of heuristic search are discussed in this module?

• Generate and Test

• Hill Climbing

• Best First Search

• All of the above

Open Ended

A salesman wants to visit n cities. The distance between each city is known as shown in the diagram. Help the salesman determine the shortest route, where each city can only be visited once. What approach would you suggest?

Fill in the Blank

Fill in the blank: The Hill Climbing algorithm is a variation of the ______ method.

Multiple Choice

What is the purpose of the Hill Climbing algorithm as described in the text?

• To find the shortest path

• To generate combinations

• To evaluate states

• To optimize solutions

Multiple Choice

What is the total number of combinations of letters that can be generated for the given solution?

• n!

• n^2

• 2^n

• n^3

Multiple Choice

What are the steps to take when encountering a local optimum in the Hill Climbing method?

• Backtrack to a previous state and try a different direction

• Jump to a distant area of the search space

• Apply two or more operators before testing

• All of the above

Open Ended

Explain the concept of a plateau in the search space as described in the Hill Climbing method.

Multiple Choice

What is the definition of a local optimum in the context of the Hill Climbing procedure?

• A state that is better than all neighboring states

• A state that is worse than all neighboring states

• A state that is equal to all neighboring states

• A state that is the best overall solution

Open Ended

What does the image illustrate about the Simple Hill Climbing method?

Multiple Choice

In the first level of hill climbing, which path is preferred over ABCD?

• BACD

• ABCD

• BDCA

• DBAC

Multiple Choice

What is the selected path in the initial state as shown in the image?

• ABCD

• BACD

• ACBD

• BCAD