Publication Type
Conference Proceeding Article
Publication Date
6-2008
Abstract
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.
Keywords
Context modeling, Real time systems, Probabilistic logic, Virtual environment, Fuzzy systems, Intelligent agent
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Hong Kong, June 1-6: Proceedings
First Page
2320
Last Page
2325
ISBN
9781424418190
Identifier
10.1109/FUZZY.2008.4630692
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
CAI, Yundong; MIAO, Chunyan; TAN, Ah-hwee; and SHEN, Zhiqi.
Context modeling with evolutionary fuzzy cognitive map in interactive storytelling. (2008). 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Hong Kong, June 1-6: Proceedings. 2320-2325.
Available at: https://ink.library.smu.edu.sg/sis_research/6557
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/FUZZY.2008.4630692
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons