Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps

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.