论文标题
情境性和信息冗余
Contextuality and Informational Redundancy
论文作者
论文摘要
如果一个人添加一组新变量，即使每个变量都通过旧变量的相同上下文函数获得，则随机变量的非秘密系统可能会变得上下文。这一事实源于情境性的定义，其演示对于不一致的连接系统（即有干扰的系统）而言是微不足道的。但是，它还具有始终连接（甚至连牢固地连接）的系统，只要有人承认，如果在给定上下文中未测量给定属性，则可以将此信息用于定义随机变量之间的函数。此外，每个不一致的连接系统都可以作为具有相同上下文特征的（强烈）连接的系统（始终如一）。
A noncontextual system of random variables may become contextual if one adds to it a set of new variables, even if each of them is obtained by the same context-wise function of the old variables. This fact follows from the definition of contextuality, and its demonstration is trivial for inconsistently connected systems (i.e. systems with disturbance). However, it also holds for consistently connected (and even strongly consistently connected) systems, provided one acknowledges that if a given property was not measured in a given context, this information can be used in defining functions among the random variables. Moreover, every inconsistently connected system can be presented as a (strongly) consistently connected system with essentially the same contextuality characteristics.
