Reasoning about hybrid probabilistic knowledge bases
文献类型：期刊论文
| 作者 | Mu, Kedian; Lin, Zuoquan; Jin, Zhi; Lu, Ruqian |
| 刊名 | PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
 |
| 出版日期 | 2006 |
| 卷号 | 4099页码:130-139 |
| ISSN号 | 0302-9743 |
| 英文摘要 | Most techniques for probabilistic reasoning focus on reasoning about conditional probability constraints. However, human experts are accustomed to representing uncertain knowledge in the form of expectation rather than probability distribution directly in many cases. It is necessary to provide a logic for encoding hybrid probabilistic knowledge bases that contain expectation knowledge as well as the purely probabilistic knowledge in the form of conditional probability. This paper constructs a nonmonotonic logic for reasoning about hybrid probabilistic knowledge bases. We extend the propositional logic for reasoning about expectation to encoding hybrid probabilistic knowledge by introducing the conditional expectation constraint formula. Then we provide an approach to nonmonotonic reasoning about hybrid probabilistic knowledge bases. Finally,we compare this logic with related works. |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000240091500016 |
| 出版者 | SPRINGER-VERLAG BERLIN |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/3675]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Mu, Kedian |
| 作者单位 | 1.Peking Univ, Sch Mat Sci, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mu, Kedian,Lin, Zuoquan,Jin, Zhi,et al. Reasoning about hybrid probabilistic knowledge bases[J]. PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2006,4099:130-139. |
| APA | Mu, Kedian,Lin, Zuoquan,Jin, Zhi,&Lu, Ruqian.(2006).Reasoning about hybrid probabilistic knowledge bases.PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,4099,130-139. |
| MLA | Mu, Kedian,et al."Reasoning about hybrid probabilistic knowledge bases".PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS 4099(2006):130-139. |
入库方式： OAI收割
来源：数学与系统科学研究院
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