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首页> 外文期刊>Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on >Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems
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Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems

机译：元合成：用于开放复杂巨型系统的M空间，M交互作用和M计算

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摘要

The studies of complex systems have been recognized as one of the greatest challenges for current and future science and technology. Open complex giant systems (OCGSs) are a family of specially complex systems with system complexities such as openness, human involvement, societal characteristic, and intelligence emergence. They greatly challenge multiple disciplines such as system sciences, system engineering, cognitive sciences, information systems, artificial intelligence, and computer sciences. As a result, traditional problem-solving methodologies can help deal with them but are far from a mature solution methodology. The theory of qualitative-to-quantitative metasynthesis has been proposed as a breakthrough and effective methodology for the understanding and problem solving of OCGSs. In this paper, we propose the concepts of M-Interaction, M-Space, and M-Computing which are three key components for studying OCGS and building problem-solving systems. M-Interaction forms the main problem-solving mechanism of qualitative-to-quantitative metasynthesis; M-Space is the OCGS problem-solving system embedded with M-Interactions, while M-Computing consists of engineering approaches to the analysis, design, and implementation of M-Space and M-Interaction. We discuss the theoretical framework, problem-solving process, social cognitive evolution, intelligence emergence, and pitfalls of certain types of cognitions in developing M-Space and M-Interaction from the perspectives of cognitive sciences and social cognitive interaction. These can help one understand complex systems and develop effective problem-solving methodologies.
机译：复杂系统的研究已被认为是当前和未来科学技术的最大挑战之一。开放式复杂巨人系统（OCGS）是具有系统复杂性（例如开放性，人员参与，社会特征和情报涌现）的一系列特殊复杂系统。它们极大地挑战了多个学科，例如系统科学，系统工程，认知科学，信息系统，人工智能和计算机科学。结果，传统的解决问题的方法可以帮助解决这些问题，但是距离成熟的解决方法还很遥远。提出了定性到定量的元合成理论，作为理解和解决OCGS的突破性有效方法。在本文中，我们提出了M-Interaction，M-Space和M-Computing的概念，这是研究OCGS和构建问题解决系统的三个关键组成部分。 M交互作用是定性到定量的元合成的主要问题解决机制。 M-Space是嵌入了M-Interactions的OCGS解决问题系统，而M-Computing由工程方法组成，用于M-Space和M-Interaction的分析，设计和实现。我们从认知科学和社会认知互动的角度讨论了发展M空间和M互动的理论框架，解决问题的过程，社会认知的发展，智力的出现以及某些类型的认知的陷阱。这些可以帮助人们理解复杂的系统并开发有效的问题解决方法。

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