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    Abstract:

    There are a lot of continuous values and various kinds of cognitive information (knowledge). Firstly, for describing and handling the knowledge, in this paper, they are divided into two parts: a continuous cognitive result and its cognitive structure. Secondly, a cognitive structure and a cognitive inference network are put forward, and they are integrated into a continuous cognitive structure. Thirdly, a continuous cognitive inferential network based on continuous cognitive structure is proposed. Fourthly,a set of inference approaches are discussed utilizing the continuous cognitive structure.The inference is non-monotonous upon incomplete inference network.The most simplified computational complexity of inference is linear is linear to the inferential nodes under the most complex condition.Finally,the suitability of the approach in practical problem is shown by an example.

    Reference
    [1] Zhang, Yao-ting, Du, Jin-song. The Probability Approach in Artificial Intelligence. Beijing: Science Press, 1998 (in Chinese). 张尧庭,杜劲松.人工智能中的概率统计方法.北京:科学出版社,1998.
    [2] Liu, Jie, Chen, Xiao-ping, Wang, Ren-hua, et al. A Chinese spoken dialogue system based on the uncertain reasoning. In: Huang, Chang-ning, ed. Proceedings of the 5th Natural Language Processing Pacific Rim Symposium (NLPRS-99). Beijing: TsingHua University Press, 1999. 221~226.
    [3] Li, Ying-chun, Shi, Chun-yi. Fuzzy model of knowledge concept and fuzzy targets identification. Journal of Computers, 1999,22(6): 615~619 (in Chinese).
    [3]李膺春,石纯一.知识概念的模糊模型及模糊目标的识别.计算机学报,1999,22(6):615~619.
    [4] Koller, D. Probabilistic frame-based system. In: Proceedings of the 15th National Conference on Artificial Intelligence(AAAI-98). Madison: AAAI Press, 1998. 580~588.
    [5] Boyen, X., Koller, D. Approximate learning of dynamic models. In: Michael, S.K., Sara, A.S., David, A.C, eds. Proceedings of the 11th Annual Conference on Neural Information Processing Systems (NIPS-98). Denver: MIT Press, 1999. 396~402.
    [6] Boyen, X., Friedman, N., Koller, D. Discover the hidden structure of complex dynamic system. In: AAAI, ed. Proceedings of the 15th Annual Conference on Uncertainty in Artificial Intelligence (UAI-99). Stockholm: AAAI Press, 1999. 91~100.
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刘洁,刘贵全,陈小平,蔡庆生.连续认知结构推理方法及其应用.软件学报,2002,13(1):125-129

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History
  • Received:March 17,2000
  • Revised:July 31,2000
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