Welcome to the Game Planning MCQs Page

Dive deep into the fascinating world of Game Planning with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Game Planning, a crucial aspect of Artificial Intelligence. In this section, you will encounter a diverse range of MCQs that cover various aspects of Game Planning, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Artificial Intelligence.

Check out the MCQs below to embark on an enriching journey through Game Planning. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Artificial Intelligence.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Game Planning. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Game Planning MCQs | Page 3 of 4

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Expert Systems

Q21.

What is meant by consistent in state-space search?

Change in the desired literals

Not any change in the literals

No change in goal state

None of the mentioned

Discuss

Answer: (b).Not any change in the literals

Q22.

What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem?

Success

Error

Compilation

Termination

Discuss

Answer: (d).Termination

Q23.

Which approach is to pretend that a pure divide and conquer algorithm will work?

Goal independence

Sub-goal independence

Both a & b

None of the mentioned

Discuss

Answer: (b).Sub-goal independence

Q24.

In 1985, the famous chess player David Levy beat a world champion chess program in four straight games by using orthodox moves that confused the program. What was the name of the chess program?

Kaissa

CRAY BLITZ

Golf

DIGDUG

Discuss

Answer: (b).CRAY BLITZ

Q25.

The process by which the brain incrementally orders actions needed to complete a specific task is referred as ______________

Total order planning

Planning problem

Partial order planning

both b and c

Discuss

Answer: (c).Partial order planning

Q26.

Following is/are the components of the partial order planning.

Bindings

Goal

Causal Links

All of the above

Discuss

Answer: (d).All of the above

Q27.

Sussman Anomaly can be easily and efficiently solved by partial order planning.

True

False

Sussman Anomaly can be easily solved but not efficiently.

Sussman Anomaly can not be easily solved but efficiently.

Discuss

Answer: (a).True

Q28.

Which of the following search belongs to totally ordered plan search?

Forward state-space search

Hill-climbing search

Depth-first search

Breadth-first search

Discuss

Answer: (a).Forward state-space search

Q29.

Which cannot be taken as advantage for totally ordered plan search?

Composition

State search

Problem decomposition

None of the Above

Discuss

Answer: (c).Problem decomposition

Q30.

What is the advantage of totally ordered plan in constructing the plan?

Reliability

Easy to use

Flexibility

All of the above

Discuss

Answer: (c).Flexibility

Page 3 of 4

Welcome to the Game Planning MCQs Page

Game Planning MCQs | Page 3 of 4

Explore more Topics under Artificial Intelligence

Introduction to AI

Intelligent Agents

Problem Solving

Knowledge and Reasoning

Uncertain Knowledge

Learning

Perceiving and Acting

Natural Language Processing

LISP Programming

Expert Systems

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