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AI agent-driven intelligent management and control of parallel museums
Special Topic: New Liberal Arts | 更新时间：2024-08-06
|
AI agent-driven intelligent management and control of parallel museums
- Chinese Journal of Intelligent Science and Technology Vol. 6, Issue 2, Pages: 134-149(2024)
- 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：
- 基金信息：The National Natural Science Foundation of China(61533019)
DOI：10.11959/j.issn.2096-6652.202415
CLC： G26Received：10 April 2024，
Revised：2024-05-22，
Published：15 June 2024
- 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.
AI agent-driven intelligent management and control of parallel museums
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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