Measuring complex patterns in space–time

摘要复杂系统生成复杂的信息结构。了解并掌握系统的行为, 包括经商系统, 要求对这些复杂结构进行研究, 获得对在生成、自我复制和演变中发挥作用的过程和机制的更大理解。但是, 这些复杂结构生成的信息研究要求超越传统的分析方法, 即: 现有的许多/大多数统计方法。本论文关注信息中的复杂系统特性, 探讨与传统的信息测量和汇总有关的问题。本论文随后介绍关于复杂的社会制度生成观念建构和测量数据的新方法, 而且关注这些新方法如何将系统主体的互相作用映射在时空而解决上述的问题。

Complex systems generate complex information structures. Understanding and managing the behavior of systems, including business systems, requires the study of these complex structures to gain greater understanding of the processes and mechanisms at play in their generation, self-replication and evolution. However, the study of the information generated by such complex structures requires going beyond traditional analytical approaches, i.e. many/most of the existing statistical methods. This paper considers the nature of complex systems in information terms and discusses the issues associated with traditional measurement and summary of their information. The paper then introduces new approaches to conceptualizing and measuring data generated by complex social systems that address these issues by mapping the interaction(s) of the systems’ agents through space–time.