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客观世界中存在着两类不同的现象:确定性现象和随机现象。提到随机现象,人们首先看到和想到的是它的不确定性——事先不能预言多种可能结果中究竟哪一种会发生。但是,当我们对随机现象进行大量重复实验或观测时就会发现,各种结果的出现都具有某种固有的规律。经过长期实践和深入研究,现代概率理论通过量化分析,具体地反映偶然中蕴合的必然性,是对偶然与必然辩证关系最精确的揭示和描述。
There are two different types of phenomena in the objective world: deterministic and stochastic phenomena. When it comes to stochastic phenomena, the first thing people see and think of is its uncertainty - it can not predict in advance which one of the many possible outcomes will happen. However, when we perform a large number of repeated experiments or observations on random phenomena, we find that the appearance of various results has some inherent law. After long-term practice and in-depth study, the modern probability theory, through quantitative analysis, specifically reflects the inevitability of coincidence, is the most accurate revelation and description of the dialectical relationship between chance and necessity.