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A Self Organizing Architecture for Adjusting Level of Difficulty in Games

نویسنده (ها)
  • Adeleh Ebrahimi
  • Mohammad-R Akbarzadeh-T
مربوط به کنفرانس سمپوزیوم علوم کامپیوتر و مهندسی نرم‌افزار 2013
چکیده Games are played by players with different strategies; a game could be frustrating or disappointing, if the level of difficulty does not match the player’s skills. In this paper we use Non-Player Characters (NPCs) to build a Self-Organizing System (SOS) for adjusting the level of difficulty in games. To this end, we apply Artificial Neural Network and Interactive Evolutionary Algorithms, and focus on player’s hidden responses. Our results demonstrate that the proposed SOS can adapt itself with different level of skills
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  • برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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  • برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال

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