| Bayesian网的信息熵 |
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| 引用本文： | 张忠玉,刘惟一,张玉琢.Bayesian网的信息熵[J].云南大学学报(自然科学版),2002,24(3):183-185,191. |
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| 作者姓名： | 张忠玉 刘惟一 张玉琢 |
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| 作者单位： | 1. 云南大学计算机科学系,云南,昆明,650091
2. 云南师范大学计算机科学系,云南,昆明,650092 |
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| 基金项目： | 国家自然科学基金资助项目 ( 6 976 30 0 3)，曲靖师院科技开发资助项目 ( 0 112 90 4) |
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| 摘 要： | 用信息熵的观点,如果将Bayesian网看作Agent的背景知识,采用与Bayesian网对应的概率分布作为信念函数的Agent的分布是最合理的,说明了与最大熵相对应的概率分布正好是在条件独立性假设下由Bayesian网确定的特征概率分布.
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| 关 键 词： | Bayesian网 Agent 条件独立性 信息熵 |
| 文章编号： | 0258-7971(2002)03-0183-03 |
The entropy of Bayesian networks |
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| ZHANG Zhong-yu ,LIU Wei-yi ,ZHANG Yu-zhuo.The entropy of Bayesian networks[J].Journal of Yunnan University(Natural Sciences),2002,24(3):183-185,191. |
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| Authors: | ZHANG Zhong-yu LIU Wei-yi ZHANG Yu-zhuo |
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| Institution: | ZHANG Zhong-yu 1,LIU Wei-yi 1,ZHANG Yu-zhuo 2 |
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| Abstract: | In the view of entropy,that if the graph and probability specification in a Bayesian network are thought of as an agent's background knowledge,the agent is most rational if she adopts the probability distribution determined by the Bayesian network as her belief function.It shows that the distribution determined by the Bayesian network maximises entropy given the causal and probability distribution of a Bayesian network under the conditional independence. |
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| Keywords: | Bayesian networks Agent conditional independence entropy |
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