
与线性因果相比, 非线性因果具有更复杂的特点和内涵. 本文主要讨论非线性因果中的若干个问题, 并着重强调因果域的概念. 本文基于广泛应用的计算模型和方法, 围绕非线性因果分析与计算以及因果域的识别问题提出相应观点和建议, 并通过几个具体案例揭示非线性因果在处理复杂因果推断问题中的重要性和现实意义.
Correspondence
Correspondence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
