Abstract
Knowledge representation and inference is a key issue of Knowledge Grid. This paper proposes Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in Knowledge Grid. It extends Fuzzy Cognitive Map (FCM) to represent and infer not only cause-effect causal relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. Mathematical model and inference rules of KM are presented. Simulations show that KM is more powerful than FCM in emulating real world.
The research work was supported by the National Science Foundation of China and National Grand Fundamental research 973 programs (2003CB316900).
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References
Hagiwara, M.: Extended Fuzzy Cognitive Maps. In: The Proc of IEEE International Conference on Fuzzy System FUZZ-IEEE, San Diego, pp. 795–801 (1992)
Miao, Y., Liu, Z.Q., et al.: Dynamic Cognitive Network. IEEE Transactions on Fuzzy System 9(5), 760–770 (2001)
Miao, Y., Liu, Z.Q.: On Causal Inference in Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy System 8(1), 107–119 (2000)
Stylios, C.D., Groumpos, P.P.: Fuzzy Cognitive Maps: A Soft Computing Technique for Intelligent Control. In: The Proc of IEEE International Symposium on Intelligent Control, Patras, pp. 97–102 (2000)
Kosko, B.: Fuzzy Engineering. Prentice-Hall, Englewood Cliffs (1997)
Obata, T., Hagiwara, M.: Neural Cognitive Maps, http://citeseer.ist.psu.edu/
Satur, R., Liu, Z.Q.: Contextual fuzzy cognitive map for decision support in geographic information systems. IEEE Trans. on Fuzzy Systems 7(5), 495–507 (1999)
Zhuge, H.: China’s E-Science Knowledge Grid Environment. IEEE Intelligent Systems 19(1), 13–17 (2004)
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Zhuge, H., Luo, X. (2004). Knowledge Map Model. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_54
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DOI: https://doi.org/10.1007/978-3-540-30208-7_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23564-4
Online ISBN: 978-3-540-30208-7
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