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Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps
March/April 2010 (vol. 30 no. 2)
pp. 58-70
Yundong Cai, Nanyang Technological University
Chunyan Miao, Nanyang Technological University
Ah-Hwee Tan, Nanyang Technological University's
Zhiqi Shen, Nanyang Technological University
Boyang Li, Nanyang Technological University
Increasingly, developers are creating serious games to enhance user experiences in education and training. To bridge the gap between game experiences in the virtual environment and in real life, it's crucial to generate believable characters and contexts in real time. However, numerous variables must be simulated for a large-scale serious game. These variables are involved in complex causal relationships, and their values change over time. Because conventional models haven't addressed world modeling well, researchers created the Evolutionary Fuzzy Cognitive Map (E-FCM) to model the characters' variables and contexts with the causalities among them in serious games. As an extension of FCM, E-FCM models not only fuzzy causal relationships but also probabilistic causal relationships among the variables. It also allows asynchronous updates of the variables, so that they can evolve dynamically and stochastically. An interactive evolutionary algorithm determines the causal relationships in E-FCM. These improvements give players a more engaging, immersive experience.

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Index Terms:
immersive game world, serious game, computational model, computer graphics, graphics and multimedia
Citation:
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen, Boyang Li, "Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps," IEEE Computer Graphics and Applications, vol. 30, no. 2, pp. 58-70, March-April 2010, doi:10.1109/MCG.2009.80
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