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Artificial Intelligence/World interaction

.NET  7
Artificial Intelligence  7
  Group behavior  2
  Path finding  16
    A* and its derivatives  6
  Pattern recognition  1
  Steering behavior  2
  World interaction  4
Audio  0
  DirectX  8
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Computer Science  2
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Data storage  4
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Game Development  20
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Graphics  27
  Character animation  6
  DirectX  24
    Optimizing  8
  Illumination  5
    Deferred lighting  7
    Global illumination  8
    Lighting models  6
    Screen Space Ambient Occlusion  4
    Shadow maps  18
    Shadow volumes  15
  Image processing & synthesizing  19
  Non-polygonal rendering  3
    Ray tracing  3
  OpenGL  12
  Particle systems  7
  Shaders  32
  Simulation  4
    Cloth  2
    Clouds & sky light  7
    Fire & smoke  4
    Liquids  12
  Surfaces & Meshes  7
    Implicit surfaces  6
    Parametric curves & surfaces  7
    Polygon reduction & LOD  3
    Subdivision surfaces  7
  Terrain  7
    Continuous LOD  12
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    Voxel engines  2
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  Transparency  1
  Visibility determination  16
Languages  5
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  C & C++  25
    C++ exceptions  5
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Mathematics  3
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  Linear algebra, vectors & matrices  9
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Object design  3
Physics  5
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Platform  2
  Linux  1
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    Windows  8
Web Technologies  8

AI for Tactical Grenade Handling
Dec 2000 - William van der Sterren
This paper shows how AI can handle grenade throwing in an intelligent way.

Terrain Reasoning for 3D Action Games
March 2001 - William van der Sterren
This paper discusses how AI can recognize features in 3D terrain to find cover and good places for ambush without the need of manually inserted hints.

Building an AI Sensory System: Examining The Design of Thief: The Dark Project
March 2003 - Tom Leonard
This article describes the interesting AI sensory system developed for Thief. The result is a seemingly realistic representation of sight and hearing by the non-player characters.

Sneaking Behind Thief’s AI: 14 Tricks to Steal for Your Game
Sep, 2007 - Alex J. Champandard
This article reviews the AI of Thief in an easily understandable way. Perfect for those looking for ways to improve their own game AI.