1.澳门科技大学创新工程学院,澳门 999078
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.达州人工智能研究院,四川 达州 635755
4.中国科学院自动化研究所多模态人工智能系统全国重点实验室,北京 100190
5.澳门科技大学酒店与旅游管理学院,澳门 999078
6.中国科学院大学人工智能学院,北京 100049
[ "张腾超(1999- ),男,澳门科技大学博士生,主要研究方向为平行智能、DAO、智能系统等。" ]
[ "田永林(1994- ),男,博士,中国科学院自动化研究所多模态人工智能系统全国重点实验室助理研究员,主要研究方向为平行系统、自动驾驶、场景工程。" ]
[ "林飞(1994- ),男,澳门科技大学博士生,主要研究方向为平行智能、多模态大语言模型、生成式人工智能。" ]
[ "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。" ]
[ "宋平(1982- ),女,澳门科技大学硕士生,主要研究方向为平行智能、平行管理、智能系统等。" ]
[ "戴星原(1993- ),男,博士,中国科学院自动化研究所多模态人工智能系统全国重点实验室助理研究员,主要研究方向为智能交通、自动驾驶、平行智能、强化学习。" ]
[ "李娟娟(1986- ),女,博士,中国科学院自动化研究所多模态人工智能系统全国重点实验室副研究员,主要研究方向为区块链智能、Web 3.0与平行管理。" ]
[ "伍乃騏(1949- ),男,博士,澳门科技大学创新工程学院工程科学系主任、澳门系统工程研究所所长。研究兴趣包括生产计划和调度、制造系统建模和控制、离散事件系统、Petri网理论及其应用、智能交通系统、能源系统。" ]
[ "Timothy J. Lee(1963- ),男,博士,澳门科技大学酒店与旅游管理学院副院长、教授,主要研究方向为康体/健康旅游、美食旅游、文化遗产旅游,以及结合区域品牌或价值的旅游/休闲/酒店业发展。" ]
[ "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。" ]
收稿:2024-04-16,
修回:2024-05-20,
纸质出版:2024-06-15
移动端阅览
张腾超,田永林,林飞等.平行旅游:基础智能驱动的智慧出游服务[J].智能科学与技术学报,2024,06(02):164-178.
ZHANG Tengchao,TIAN Yonglin,LIN Fei,et al.Parallel tourism:foundation intelligence driven smart trip services[J].Chinese Journal of Intelligent Science and Technology,2024,06(02):164-178.
张腾超,田永林,林飞等.平行旅游:基础智能驱动的智慧出游服务[J].智能科学与技术学报,2024,06(02):164-178. DOI: 10.11959/j.issn.2096-6652.202420.
ZHANG Tengchao,TIAN Yonglin,LIN Fei,et al.Parallel tourism:foundation intelligence driven smart trip services[J].Chinese Journal of Intelligent Science and Technology,2024,06(02):164-178. DOI: 10.11959/j.issn.2096-6652.202420.
旅游作为一种满足人们对不同生活体验和知识需求的活动,对经济、文化等领域都产生了深远影响。随着物联网、多模态大语言模型等技术的迅速发展,传统的旅游业难以满足人们智能化以及个性化的旅游需求。为此,以平行智能为理念,基于ACP方法与多模态大语言模型提出了虚实交互的个性化旅游服务系统,通过构建旅游大模型,并结合检索增强生成方法和多智能体协作系统,打造个性化旅游服务的新范式。此外,探讨了平行旅游的应用生态,从“行”“住”“食”“衣”4个方面对整个旅游生态进行拓展,分析了其他行业与个性化旅游服务的融合。平行旅游将为旅游行服务业的发展带来全新可能。
Tourism
as an activity that satisfies people's desire for diverse life experiences and knowledge
has had profound impacts on the economy
culture
and other fields. However
with the rapid development of technologies
such as the Internet of Things and multimodal large language models
traditional tourism is unable to meet the demand for intelligent and personalized travel experiences. To address this
this paper proposes an interactive personalized tourism service system based on the concept of parallel intelligence
utilizing the ACP approach and multimodal large language models. The system constructs a comprehensive tourism model and leverages retrieval-augmented generation and multi-agent collaboration systems to create a new paradigm for personalized tourism services. Additionally
this paper explores the application ecosystem of parallel tourism
expanding the tourism ecosystem from four aspects: clothing
food
accommodation and transportation. This paper analyzes the integration of other industries with personalized tourism services. Parallel tourism is poised to bring new possibilities for the development of the tourism service industry.
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