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Course Outline

Foundations of AI in Gaming

  • Survey of AI applications within games
  • Categorization of AI agents: NPCs, strategic units, and others
  • Core concepts in game AI development

Decision-Making Architectures

  • Building simple AI logic with decision trees
  • Managing complex behaviors via finite state machines
  • Designing modular AI using behavior trees

Pathfinding and Navigation Strategies

  • Exploring pathfinding algorithms
  • Applying the A* algorithm for in-game navigation
  • Optimizing pathfinding efficiency on large maps

Reinforcement Learning in Gaming

  • Overview of reinforcement learning principles
  • Training AI agents via Q-learning and deep Q-networks
  • Designing reward structures to foster adaptive behaviors

Optimizing AI Performance

  • Methods for enhancing real-time AI performance
  • Resource management and task prioritization for AI
  • Debugging and resolving issues in AI systems

Advanced AI Techniques

  • Utilizing AI for procedural content generation
  • Simulating player-like behaviors
  • Integrating AI into multiplayer gaming ecosystems

Future Trends in Game AI

  • The role of AI and machine learning in next-generation gaming
  • Ethical implications of game AI
  • Exploring AI-driven storytelling and narrative design

Summary and Future Directions

Requirements

  • Fundamental grasp of programming concepts
  • Proficiency with game development tools or frameworks
  • Basic understanding of AI principles

Target Audience

  • Game developers
  • AI enthusiasts
 14 Hours

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