人工智能代理驱动的平行博物馆智慧管控

鲁越; 郭超; 倪清桦; 李华飙; 王春法; 王飞跃

doi:10.11959/j.issn.2096-6652.202415

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人工智能代理驱动的平行博物馆智慧管控

专题：新文科 | 更新时间：2024-08-06

- 人工智能代理驱动的平行博物馆智慧管控
- AI agent-driven intelligent management and control of parallel museums
- 智能科学与技术学报 2024年6卷第2期页码：134-149
- 作者机构：
  
  1.山东大学控制科学与工程学院，山东济南 250061
  2.中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3.澳门科技大学，澳门 999078
  4.中国国家博物馆，北京 100006
- 作者简介：
  
  [ "鲁越（1994- ），男，博士，山东大学控制科学与工程学院博士后，主要研究方向为机器学习、小样本学习、机器人系统。" ]
  [ "郭超（1992- ），男，博士，中国科学院自动化研究所助理研究员，主要研究方向为机器学习、强化学习、机器艺术创作、智能机器人系统。" ]
  [ "倪清桦（1999- ），女，博士，澳门科技大学博士生，主要研究方向为平行智能、数字孪生、智能系统等。" ]
  [ "李华飙（1976- ），男，中国国家博物馆数据管理与分析中心主任，主要研究方向为智慧博物馆、文物数字化技术。" ]
  [ "王春法（1963- ），男，博士，曾任中国国家博物馆馆长，主要研究方向为科技政策与科学文化、博物馆管理、智慧博物馆。" ]
  [ "王飞跃（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，兼任中国国家博物馆科学与艺术研究所所长，主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。" ]
- 基金信息：
  
  国家自然科学基金项目(61533019)
- DOI：10.11959/j.issn.2096-6652.202415
  中图分类号： G26
- 收稿：2024-04-10，
  
  修回：2024-05-22，
  
  纸质出版：2024-06-15
- 稿件说明：
移动端阅览
鲁越,郭超,倪清桦等.人工智能代理驱动的平行博物馆智慧管控[J].智能科学与技术学报,2024,06(02):134-149.

LU Yue,GUO Chao,NI Qinghua,et al.AI agent-driven intelligent management and control of parallel museums[J].Chinese Journal of Intelligent Science and Technology,2024,06(02):134-149.
鲁越,郭超,倪清桦等.人工智能代理驱动的平行博物馆智慧管控[J].智能科学与技术学报,2024,06(02):134-149. DOI： 10.11959/j.issn.2096-6652.202415.

LU Yue,GUO Chao,NI Qinghua,et al.AI agent-driven intelligent management and control of parallel museums[J].Chinese Journal of Intelligent Science and Technology,2024,06(02):134-149. DOI： 10.11959/j.issn.2096-6652.202415.

摘要

博物馆负责海量文化遗产的保管、研究、传播等工作。随着人工智能技术的飞速发展，社会对博物馆智能化水平的要求不断提高。以大语言模型和人工智能代理为代表的通用人工智能取得了里程碑式的进展，给新时代博物馆建设提供了新技术支撑。以平行智能和平行博物馆系统为平台，提出了人工智能代理驱动的人机混合博物馆管理架构，从而发挥平行博物馆虚实交互与平行执行的框架作用。阐述了智能代理驱动的平行博物馆系统架构与关键技术，基于人工系统构建智能代理的生产工厂和运行平台，利用计算实验进行博物馆的建模和智能代理的训练，通过自然人、数字人和机器人构建人机混合的智能代理团队，实现虚拟博物馆与实体博物馆的平行执行与迭代优化。最后，介绍了智能代理驱动的平行博物馆典型案例。

Abstract

Museums are responsible for the preservation

research and dissemination of vast cultural heritage. With the rapid development of artificial intelligence technology

society's demand for the intelligence level of museums is increasing. General artificial intelligence represented by large language models and artificial intelligence agents has achieved milestone progress

providing new technological support for the construction of museums in the new era. The artificial intelligence agent-driven human-machine hybrid museum management architecture was proposed based on parallel intelligence and parallel museum systems

thereby further leveraging the framework of parallel interaction and parallel execution of parallel museums. The system architecture and key technologies of intelligent agent-driven parallel museums were elaborated. Parallel execution and interaction optimization between artificial museums and real museums were realized by building a production factory and operation platform for intelligent agents based on artificial systems

using computational experiments to model museums and train intelligent agents

and constructing a human-machine hybrid intelligent agent team composed of biological workers

digital workers

and robotic workers. Finally

typical cases of intelligent agent-driven parallel museums were introduced.

关键词

Keywords

references

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