AI agent-driven intelligent management and control of parallel museums

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.

Keywords

• parallel museum;intelligent museum;parallel system;AI agent