智能科学与技术学报 ›› 2023, Vol. 5 ›› Issue (4): 436-445.doi: 10.11959/j.issn.2096-6652.202344

• 专栏：新文科与平行智能探索 • 上一篇    下一篇

平行戏剧：新时代戏剧的人机协同创作与智能管理

倪清桦1,2, 郭超3,4, 王飞跃1,3,4()   

  1. 1.澳门科技大学创新工程学院工程科学系，澳门 999078
    2.青岛智能产业技术研究院，山东 青岛 266109
    3.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
    4.中国科学院大学人工智能学院，北京 100049
  • 收稿日期:2023-11-10 修回日期:2023-11-28 出版日期:2023-12-15 发布日期:2023-12-15
  • 通讯作者: 王飞跃 E-mail:feiyue.wang@ia.ac.cn
  • 作者简介:倪清桦（1999- ），女，澳门科技大学博士生，主要研究方向为平行智能、区块链、数字孪生、智能系统等。
    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、人机协作、智能机器人系统。
    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，澳门科技大学特聘教授。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。
  • 基金资助:
    国家自然科学基金项目(62306319)

Parallel theaters: human-machine collaborative creation and intelligent management for theatrical art

Qinghua NI1,2, Chao GUO3,4, Fei-Yue WANG1,3,4()   

  1. 1.Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China
    2.Qingdao Academy of Intelligent Industries, Qingdao 266109, China
    3.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    4.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2023-11-10 Revised:2023-11-28 Online:2023-12-15 Published:2023-12-15
  • Contact: Fei-Yue WANG E-mail:feiyue.wang@ia.ac.cn
  • Supported by:
    The National Natural Science Foundation of China(62306319)

在线阅读

57

PDF下载

145

摘要：

针对传统戏剧工作流程依赖于专家经验和人力劳动的问题，戏剧行业亟需从依赖个人经验和传统技巧的模式转变为基于智能技术和数据驱动的模式，以提升创作和运营效率、丰富艺术表现，从而更好地满足观众多样化的需求。为此，提出平行戏剧架构及系统，旨在实现人机协同创作和对戏剧工作全流程的智能管理。通过构建戏剧大模型、搭建戏剧计算实验平台、打造戏剧虚实闭环，平行戏剧将助力剧本创作、舞美设计、演出安排、观众互动以及市场营销等关键戏剧环节，实现自动化和智能化的创意设计与执行。此外，探讨了平行戏剧在教育和心理治疗的跨领域应用前景，分析了其在促进戏剧行业与其他领域融合、拓宽戏剧艺术影响力方面的潜力。作为一种创新的戏剧创作和管理模式，平行戏剧将为戏剧行业在智能时代的发展带来全新可能。

关键词: 平行戏剧, 平行系统, CPSS, ACP方法, 智能管理

Abstract:

Given the limitations of traditional theater production processes, which heavily rely on expert experience and manual labor, the theater industry faces a pressing demand for a transition from a paradigm primarily rooted in individual expertise and traditional competencies to one that harnesses intelligent technology and data-driven approaches. This transition aims to enhance production and operational efficiency while elevating artistic expression to address the diverse preferences of audiences more effectively. Within this context, this paper proposes the concept of "parallel theaters", specifically designed to facilitate collaborative human-machine creativity and intelligent management across the entire theater workflow. By establishing a comprehensive theater model, creating a computational experimentation platform for theatrical art and enabling a virtual-to-real feedback loop, the "parallel theaters" contributes to the intelligent and automated design and execution of critical theater production and management aspects, such as script writing, stage design, performance coordination, audience engagement and marketing. In addition, the paper explores the potential cross-disciplinary applications of "parallel theaters" in education and psychotherapy, analyzing its ability to foster the integration of the theater industry with other fields, thereby expanding the influence of the performing arts. As an avant-garde model for theater creation and management, "parallel theaters" opens new avenues for the industry in the intelligence era, promising enhanced efficiency, enriched artistic expression and a more diverse audience engagement.

Key words: parallel theaters, parallel systems, CPSS, ACP, intelligent management

中图分类号: 

No Suggested Reading articles found!