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Gaming AI Developer Certification

Course Overview:

 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.

Terms and Conditions:

  • Every MCQ set focuses on a specific topic in Gaming AI Developer Quiz Professional Certificate Quiz.
  • 10 Multiple Choice Questions & Answers in Gaming AI Developer Certificate Quiz with Answers.
  • This quiz consists of 10 multiple-choice questions.
  • Each question in the quiz is in multiple-choice or “true or false” format.
  • You may review your answer choices and compare them to the correct answers after your final attempt.
  • To start, click the “Take the Quiz” button. When finished, click the “Submit Quiz” button.

Here are the Questions and Answers:

  • Only Single-agent and Multi-agent
  • Neither Single-agent nor Multi-agent
  • Multi-agent
  • Single-agent
  • Cooperative Environment
  • Competitive Environment
  • Only Competitive and Cooperative Environment
  • Neither Competitive nor Cooperative Environment
  • True
  • False
  • Two player
  • Single player
  • Three player
  • Multiplayer
  • Database Management System
  • Natural Language Processing
  • Digital Assistants
  • Computer Vision
  • Implication
  • Negation
  • Conjunction
  • All of the above
  • SIMD
  • BACON
  • STUDENT
  • None of the above
  • The Halting Problem
  • The Turing Test
  • LISP
  • None of the above
  • Unify algorithm
  • Depth-first search
  • Inference
  • Hill-Climbing
  • 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
  • Model-based agent
  • Simple reflex agent
  • Intelligent Agent
  • Problem-solving agent
  • 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)
  • Iterative
  • Interpretive
  • Descriptive
  • Diagnostic
  • Knowledge base
  • User interface
  • Inference engine
  • All of the above
  • 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
  • Ok
  • Exit
  • Quit
  • Bye
  • Carnegie Mellon University.
  • Cambridge University
  • Stanford University
  • Oxford University
  • Forest
  • Game Tree
  • Search Tree
  • State Space Search
  • BFS
  • DFS
  • Min/Max Algorithm
  • Heuristic Search
  • 5 Levels
  • 4 Levels
  • 2 Levels
  • 3 Levels

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