Game Ai Introduction

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This is the reading note after reading by Mat Buckland.

Here is the part of the introduction chapter.

Academic AI & Game AI

Academic AI

  • Strong AI: Create systems that mimic human thought processes.
  • Weak AI: Solve real-world problems.

They both don’t care much about the hardware of spending time, instead care about the final result.

Game AI

  1. Game AI has to work with limited resources.
  2. Game AI should be entertaining, make player feel clever, sly, cunning and powerful.

Illusion of Interlligence

If the player believes the agent he’s playing against is intelligent, then it is intelligent.

Therefore our goal is to design agents that provide the illusion of intelligence.

Several approaches:

  1. Carefully increase the difficulty.
  2. Provide the player with some visual/auditory clues.
  3. Not let the cloak of illusion slip. (e.g. AI running to walls)