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Dynamic Difficulty Adjustment (DDA) can adjust game difficulty level dynamically; so it generates a tailor-made experience for each gamer. If a game is too easy, the gamer will feel bored; if it is too hard, the gamer will become frustrated. DDA is a mechanism to overcome this dilemma and augment the entertainment of a game by dynamically adjusting the parameters, scenarios and behaviors in the game...
As a new trend of game development, Artificial Intelligence (AI) used to be implemented by Finite State Machine (FSM) is being replaced by domain-knowledge-free automatic game design approaches. These training methods could achieve excellent performance as FSM and contribute to other improvements: Non Player Character's (NPC) behaviors appear wide differences based on player action, and for multiple...
Game AI controlled by UCT which achieves excellent performance in computer go can be applied to control non-player characters (NPCs) in video games. While, it is computation intensive algorithm, so applying it to on-line game is not suitable. But data collected from NPC controlled by UCT is able to be utilized to train neuro-controler. Furthermore, neuro-controler is an efficient algorithm due to...
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