AI programming is a highly specialized area of game development, it should be seamless and invisible to the player by enhancing the experience on a subliminal level. This area of development is about providing the game with a ‘brain’ that works instinctively and independently based on the individual player’s gameplay.

Requirements

• C++
• Python.
• PyTorch.
• PyBrain.
• Perl.
• STL.
• OpenGL and PhysX.

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Here are the questions and answers :

1. General games involves __

Only Single-agent and Multi-agent
Neither Single-agent nor Multi-agent
Multi-agent
Single-agent

2. Adversarial search problems uses __

Cooperative Environment
Competitive Environment
Only Competitive and Cooperative Environment
Neither Competitive nor Cooperative Environment

3. Mathematical game theory, a branch of economics, views any multi-agent environment as a game provided that the impact of each agent on the others is “significant,” regardless of whether the agents are cooperative or competitive.

True
False

4. Zero sum game has to be a __ game.

Two player
Single player
Three player
Multiplayer

5. Which of the following is not an application of artificial intelligence?

Database Management System
Natural Language Processing
Digital Assistants
Computer Vision

6. Which of the following symbols in AI are logical symbols?

Implication
Negation
Conjunction
All of the above

7. The name of the Artificial Intelligence system developed by Daniel Bobrow was?

SIMD
BACON
STUDENT
None of the above

8.‘ The Imitation Game’ was the original name of?

The Halting Problem
The Turing Test
LISP
None of the above

9. Which algorithm takes two sentences as input and returns a Unifier?

Unify algorithm
Depth-first search
Inference
Hill-Climbing

10. In which search problem, to find the shortest path, each city must be visited once only?

Map coloring Problem
Travelling Salesman problem
Finding the shortest path between a source and a destination
Depth-first search traversal on a given map represented as a graph

11. Web Crawler is an example of______.

Model-based agent
Simple reflex agent
Intelligent Agent
Problem-solving agent

12. The main function of problem-solving agent is to________.

Solve the given problem and reach the goal
Find out which sequence of action will get it to the goal state.
None of the above
Both a & b

13. A process that is repeated, evaluated, and refined is called __

iterative
interpretive
descriptive
diagnostic

14. Which of the following, is a component of an expert system?

knowledge base
user interface
inference engine
All of the above

15. When a top-level function is entered, the LISP processor do(es)?

It evaluates the function and the function’s operands
It reads the function entered
It prints the results returned by the function
All of the above

16. The traditional way to exit and LISP system is to enter __

ok
exit
quit
bye

17. In which university the first demontration of AI program run?

Carnegie Mellon University.
Cambridge University
Stanford University
Oxford University

18. The initial state and the legal moves for each side define the __ for the game.

Forest
Game Tree
Search Tree
State Space Search

19. Decisions of Victory/Defeat are made in Game trees using which algorithm?

BFS
DFS
Min/Max Algorithm
Heuristic Search

20. A knowledge-based agent can be defined with _ levels.

5Levels
4 Levels
2 Levels
3 Levels