人智交互引发新的知识交互问题，推动知识生态系统变革，因此探究元宇宙人智交互情景下的知识交互过程以及知识生态系统重构的过程机制具有重要的理论价值和实践意义。基于元宇宙场景下知识孪生系统媒介与知识生态系统理论耦合，聚焦虚实融合空间内知识生态系统主体及其构成要素，深入探究知识生态系统重构的内在逻辑，建构知识孪生系统媒介下知识生态系统重构模型并阐述其运行机制，剖析知识孪生系统交互媒介应用于元宇宙知识生态系统重构的现实可行性及价值。研究发现，知识孪生系统交互媒介下的元宇宙知识生态系统重构聚焦于交互层面、记忆场景层面与价值联结层面，交互语义重构与虚拟知识重构推动人智交互的知识边界形成与语义文化生态价值流转；数字记忆重构和交互场景重构延展了价值记忆链路与知识价值生态的交互场域；知识价值重构和价值链路重构助推知识生态价值增值与可持续发展。

With the concept of metaverse and the rapid development of its related industries, the virtual and the real integration and co-creation are urgently becoming a new combination of social, economic and cultural forms. In the metaverse, human beings and avatars interact with extended reality knowledge through artificial intelligence, augmented reality (AR), virtual reality (VR), and digital twins, which will stimulate the intelligent transformation of the two-subject human-intelligence knowledge ecology. In the scenario of human-intelligence interaction , knowledge production subjects, inter-subjective relationships, production factors and environments undergo fundamental changes. As a result, human-intelligence interaction triggers a large number of brand-new knowledge interaction problems and promotes the systematic change of knowledge ecology. However, existing research lacks a systematic explanation of the different subjects, knowledge interaction processes, and interrelationships with the environment under the scenario of human-intelligence interaction in the metaverse. Therefore, it is of great theoretical value and practical significance to explore the process of knowledge interaction and the process mechanism of how knowledge ecosystems are reconfigured under the scenario of human-intelligence interaction in the metaverse.
On the basis of the theoretical coupling of the knowledge twin system medium and the knowledge ecosystem in the metaverse scenario, this study examines the main components and constituent elements of the knowledge ecosystem within the virtual-reality fusion space. It explores the internal logic of knowledge ecosystem reconstruction in depth and constructs a theoretical model of knowledge ecosystem reconstruction mediated by the knowledge twin system. The study elaborates on the operational mechanisms of this model and analyzes the feasibility and value of applying the interactive medium of the knowledge twin system to the reconstruction of the knowledge ecosystem in the metaverse. This article aims to provide theoretical references for knowledge production, dissemination, and value transformation under human-intelligence interaction scenarios, thereby promoting the sustainable development of knowledge management and innovation in these contexts.
This study explores how the knowledge twin system empowers knowledge ecosystem reconfiguration in the metaverse. The findings reveal that this reconfiguration occurs across three key levels: interaction, memory scenario, and value linkage. Interactive semantic reconstruction and virtual knowledge reconstruction promote the knowledge boundary of human-intelligence interaction and the value flow of semantic cultural ecology. Digital memory reconstruction and interactive scene reconstruction extend the value memory link and the interactive field of knowledge value ecology. Additionally, the reconstruction of knowledge value and value chain drives the value-added and sustainable development of the knowledge ecosystem. By elucidating these mechanisms, the study maps the process through which the knowledge twin system facilitates value circulation and value-adding in the metaverse. It provides a deep-level understanding of human-intelligence interactions in this context and demonstrates the feasibility and value of applying the knowledge twin system as an interaction medium for knowledge ecosystem reconstruction. Ultimately, this research offers theoretical insights for the future expansion and practical application of the knowledge twin system, contributing to the sustainable development of knowledge management and innovation in the metaverse.
This study enriches the knowledge management research under the human-intelligence interaction scenario by systematically analyzing the transformative reconfiguration of the knowledge subject, interaction process and relationship with the environment under the metaverse human-intelligence interaction scenario. Furthermore, the study extends the theoretical boundaries of the knowledge twin system. It explains how the knowledge twin system empowers the reconstruction of the knowledge ecosystem in the metaverse human-intelligence interaction scenario, thereby providing a novel perspective on knowledge ecosystem dynamics. A theoretical model for the reconstruction of knowledge ecosystems in the metaverse human-intelligence interaction scenario is developed. The study elaborates on the operational mechanisms of this model, offering insights into how knowledge ecosystems can be restructured and optimized in this context. This work not only advances the theoretical framework of knowledge ecosystems but also broadens the research field under the human-intelligence interaction scenario, paving the way for future studies and practical applications.