In the last three decades, several measures of complexity have been proposed. Up to this point, most of such measures have only been developed for finite spaces. In these scenarios the baseline distribution is uniform. This makes sense because, among other things, the uniform distribution is the measure of maximum entropy over the relevant space. Active information traditionally assumes a finite interval universe of discourse but can be extended to other cases where maximum entropy is defined. Illustrating this is the purpose of this paper. Disequilibrium from maximum entropy, measured as active information, can be evaluated from baselines with unbounded support.
翻译:在过去三十年中,提出了若干复杂的计量标准。直到现在,大多数这类计量标准都只针对有限的空间。在这些假设情景中,基线分布是统一的。这很有意义,因为,除其他外,统一分布是相关空间上的最大倍增量的量度。主动信息传统上假定有一定的谈话间隔,但可以扩展到其他定义最大倍增的情况。本文的目的是以此为例。从最大倍增的平衡(以主动信息衡量),可以在无限制支持的情况下从基线中评估。