NDLI: Dynamic difficulty adjustment of game AI for video game Dead-End

Content Provider	IEEE Xplore Digital Library
Author	Xinrui Yu Suoju He Yuan Gao Jiajian Yang Lingdao Sha Yidan Zhang Zhaobo Ai
Copyright Year	2010
Description	Author affiliation: School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China (Suoju He) \|\| International School, Beijing University of Posts and Telecommunications, Beijing, China (Xinrui Yu; Yuan Gao; Jiajian Yang; Lingdao Sha; Yidan Zhang; Zhaobo Ai)
Abstract	To create a satisfactory game opponent is to optimize player's experience through creation of an dynamic balanced game, which means that win-rate of players is adjusted according to their ability. The most commonly used approach for generating satisfactory game opponent is Dynamic Difficulty Adjustment (DDA), which is to dynamically adjust challenge level of the opponent according to the player's skill level. However, DDA currently used is relatively simple and implementing DDA by adjusting opponent's intelligence is still challenging. In this paper, we propose to use Artificial Neural Network(ANN) to implement DDA and unsupervised learning methodologies to improve the performance of ANN. ANN-controlled Non-Player Characters (NPC) can make "wise" decision based on collected attributes of all the characters in the game. Different ANNs can provide different win-rates for different player strategies, which can achieve the dynamic balance we expected and enhance the user experience of games.
Starting Page	583
Ending Page	587
File Size	211935
Page Count	5
File Format	PDF
ISBN	9781424473847
e-ISBN	9781424473861
DOI	10.1109/ICICIS.2010.5534761
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	DDA ANN Humans Artificial neural networks Helium Clustering Unsupervised learning Clustering algorithms Games Dogs Player strategy Artificial intelligence Testing Software engineering
Content Type	Text
Resource Type	Article

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