Context modeling with evolutionary fuzzy cognitive map in interactive storytelling

• Main Authors: CAI, Yundong, MIAO, Chunyan, TAN, Ah-hwee, SHEN, Zhiqi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: Context modeling; Real time systems; Probabilistic logic; Virtual environment; Fuzzy systems; Intelligent agent; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6557; https://ink.library.smu.edu.sg/context/sis_research/article/7560/viewcontent/ContextFCM_FUZZ_IEEE08_av.pdf
• Institution: Singapore Management University

To generate a believable and dynamic virtual world is a great challenge in interactive storytelling. In this paper, we propose a model, namely evolutionary fuzzy cognitive map (E-FCM), to model the dynamic causal relationships among different context variables. As an extension to conventional FCM, E-FCM models not only the fuzzy causal relationships among the variables, but also the probabilistic property of causal relationships, and asynchronous activity update of the concepts. With this model, the context variables evolve in a dynamic and uncertain manner with the according evolving time. As a result, the virtual world is presented more realistically and dynamically.