| Fractal measure theory for knowledge representation |
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| 作者姓名： | 耿卫东 潘云鹤 |
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| 作者单位： | Artificial Intelligence Institute，State Key Laboratory of CAD and CG，Zhejiang University，Hangzhou 310037，China，Artificial Intelligence Institute，State Key Laboratory of CAD and CG，Zhejiang University，Hangzhou 310037，China |
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| 基金项目： | Project supported by the National Natural Science Foundation of China, the Climb Project and the 863 Intellgent Computer Project. |
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| 摘 要： | A quantitative analysis of knowledge representation is attempted.Based on the fractal theory and information measuring principles and methods,a series of quantitative concepts for knowledge representation,e.g.information capacity,entropy,information processing channel (IPC),are proposed.From the viewpoint of information processing,the principles of maximum entropy and increasing entropy are discussed,and the types,characteristics and structures of information processing channel are also discussed.Finally,the quantitative theoretical analyses of several typical knowledge representation methods are given.
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Fractal measure theory for knowledge representation |
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| GENG Weidong and PAN Yunhe.Fractal measure theory for knowledge representation[J].Science in China(Technological Sciences),1996(4). |
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| Authors: | GENG Weidong and PAN Yunhe |
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| Abstract: | A quantitative analysis of knowledge representation is attempted.Based on the fractal theory and information measuring principles and methods,a series of quantitative concepts for knowledge representation,e.g.information capacity,entropy,information processing channel (IPC),are proposed.From the viewpoint of information processing,the principles of maximum entropy and increasing entropy are discussed,and the types,characteristics and structures of information processing channel are also discussed.Finally,the quantitative theoretical analyses of several typical knowledge representation methods are given. |
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| Keywords: | knowledge representation fractal measuring quantitative analysis |
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