Chu Dominique
Computing Laboratory, University of Kent, Canterbury, UK.
Artif Life. 2008 Summer;14(3):313-23. doi: 10.1162/artl.2008.14.3.14306.
While complex systems have been studied now for more than two decades, there still is no agreement on what complexity actually is. This lack of a definition might be a problem when asking questions about the evolution of complexity. In this article criteria against which candidate measures of complexity can be assessed are discussed. The main conclusion of this article is that because of the absence of a basic consensus on what complexity is, there is no criterion that can be used to decide whether or not a proposed measure actually measures complexity. The main recommendation is to abandon complexity as a formal notion; instead, research into the evolution of complexity should use well-understood proxy notions (as is sometimes done in the literature). For the time being "complexity" should remain an informal notion. Research into evolutionary trends of these proxy notions might eventually lead to an emergent community consensus on what complexity is.
虽然对复杂系统的研究已经进行了二十多年,但对于复杂性究竟是什么仍然没有达成共识。在探讨复杂性的演化问题时,缺乏这样一个定义可能会成为一个问题。本文讨论了可用于评估复杂性候选度量的标准。本文的主要结论是,由于对于复杂性是什么缺乏基本共识,所以没有标准可用于判定一项提出的度量是否真的度量了复杂性。主要建议是摒弃将复杂性作为一个形式化概念;相反,对复杂性演化的研究应该使用已被充分理解的替代概念(正如文献中有时所做的那样)。目前,“复杂性”应仍然是一个非形式化概念。对这些替代概念的演化趋势的研究最终可能会使学界就复杂性是什么达成共识。