Artificial Intelligence in Video Game Development

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Description

This exam focuses on the theoretical concepts of artificial intelligence in video game development, highlighting pathfinding algorithms and NPC behavior. It considers the implications of AI on player interactions.

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Exam Details

Duration: 50 minutes

Prerequisites: Introduction to Artificial Intelligence, Game Development Fundamentals

Key Topics

  • Pathfinding Algorithms
  • Decision-Making Systems
  • NPC Behavior Modeling

Learning Outcomes

  • Explain AI Concepts in Games
  • Critique AI Algorithms
  • Discuss Ethical Implications

Full Description

This exam addresses the theoretical concepts related to the application of artificial intelligence (AI) in video games. Key topics include pathfinding algorithms, decision-making systems, and NPC behavior modeling.

AI plays a pivotal role in enhancing gameplay experiences by creating more dynamic and responsive game environments. Understanding AI principles allows developers to implement intelligent systems that enrich player interactions and foster engagement.

Candidates will be evaluated on their ability to verbally communicate the concepts and algorithms used in game AI, including critiques of their effectiveness and practical applications.

Discussions may also cover ethical implications of AI in gaming and the future of AI development within the industry.

Sample Questions

  • Can you describe how pathfinding algorithms work and their significance in game development?
  • What are the ethical concerns associated with AI in video games?

Field: Engineering and Technology

Subfield: Software Engineering

Specialization: Game Development

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