NDLI: Creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment

Content Provider	IEEE Xplore Digital Library
Author	Lingdao Sha Souju He Junping Wang Jiajian Yang Yuan Gao Yidan Zhang Xinrui Yu
Copyright Year	2010
Description	Author affiliation: International School, School of Software Engineering, Beijing University of Posts and Telecommunications, China (Lingdao Sha; Souju He; Junping Wang; Jiajian Yang; Yuan Gao; Yidan Zhang; Xinrui Yu)
Abstract	The goal for video game AI (artificial intelligence) is to generate AI that is at appropriate challenge level. Most existing game AI is implemented by FSM (Finite State Machine) which has drawbacks in the three respects: requirement of designer's intensive participation; can't adjust strategies or difficulty dynamically; no planning and looking forward. Contribution of this paper is to propose DDA (dynamic difficulty adjustment) as an approach to create appropriate challenge level game opponent. During the research, the prey and predator genre game of Dead-End is used as test-bed to prove the proposed theory. Based on the Dead-End test-bed, I proposed two kinds of DDA which are DDA by “time-constrained-CI” and DDA by “knowledge-based-time-constrained-CI”. As the latter is based on knowledge, it is more computational resource efficient than the former and thus more applicable for multi-player online games, while the former is only applicable for the standalone PC game.
Starting Page	3897
Ending Page	3901
File Size	354866
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers DDA Challengeable Computational modeling Knowledge based systems CI Artificial neural networks Dead-End MCTS Games Dogs Game AI Appropriate
Content Type	Text
Resource Type	Article

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