大数据环境下的混合智能:智能服务的概念、架构与应用

Zhenghao Liu , Xi Zeng
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引用次数: 2

摘要

基于“混合智能”这一新兴概念,本文旨在探索一种新的人机交互模式,并深入研究其在大数据环境下智能服务的开发与应用。系统探讨了混合智能的相关学术概念,建立了混合智能的体系结构模型。混合智能的发展面临着认知差异、系统碎片化、人机数字鸿沟等问题。加强认知与感知的互动是突破瓶颈的关键。基于混合智能架构的智能服务系统以知识融合为核心,“云智能大脑”使混合智能驱动的人机共生成为可能。提出的先进人机交互模式构建了混合智能架构模型,丰富了人机混合智能的概念体系,为大数据环境下基于复杂场景的智能服务提供了新的落地方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Based on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break through the bottleneck. The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and “cloud intelligent brain” is making it possible for the human–computer symbiosis driven by hybrid intelligence. The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of human–machine hybrid intelligence, and provides a new landing scheme for intelligent services based on complex scenes in the big data environment.

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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
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55 days
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