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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Creating an immersive game world with evolutionary fuzzy cognitive maps.

Yundong Cai1, Chunyan Miao, Ah-Hwee Tan

  • 1Nanyang Technological University. caiy0004@ntu.edu.sg

IEEE Computer Graphics and Applications
|July 24, 2010
PubMed
Summary

Evolutionary Fuzzy Cognitive Maps enhance serious games by modeling complex causal relationships and allowing dynamic variable updates. This creates a more engaging and immersive player experience through stochastic evolution.

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Area of Science:

  • Artificial Intelligence
  • Game Design
  • Computational Modeling

Background:

  • Serious games aim for engagement and learning.
  • Existing models may not capture complex variable interactions.
  • Dynamic and stochastic elements enhance realism.

Purpose of the Study:

  • To introduce the Evolutionary Fuzzy Cognitive Map (EFCM) as an advancement for serious games.
  • To model fuzzy and probabilistic causal relationships within game variables.
  • To enable dynamic and stochastic evolution of game variables.

Main Methods:

  • Developed the Evolutionary Fuzzy Cognitive Map (EFCM) framework.
  • Implemented fuzzy logic for causal relationships.
  • Incorporated probabilistic modeling for variable interactions.
  • Enabled asynchronous and stochastic variable updates.

Main Results:

  • EFCM successfully models complex, non-linear causal links.
  • Asynchronous updates allow for dynamic game states.
  • Stochastic elements introduce emergent behaviors.
  • Enhanced player engagement and immersion were observed.

Conclusions:

  • EFCM offers a significant improvement over traditional serious game models.
  • The framework provides a more realistic and dynamic simulation environment.
  • This approach leads to a more compelling and immersive player experience.