创建网络自适应交互式混合系统:一种方法方法

L. Kester
{"title":"创建网络自适应交互式混合系统:一种方法方法","authors":"L. Kester","doi":"10.1109/ICI.2011.32","DOIUrl":null,"url":null,"abstract":"Advances in network technologies enable distributed systems, operating in complex physical environments, to co-ordinate their activities over larger areas within shorter time intervals. Some envisioned application domains for such systems are defense, crisis management, traffic management, public safety and security, defense and smart infrastructures. In these systems, humans and intelligent machines will, in close interaction, be able to adapt their behavior under changing conditions and situations to reach their goals. Various architecture models are proposed for such systems from different research areas such as sensor web technology, data fusion, command and control, cognitive systems, multi agent systems, complex adaptive systems and cyber physical systems. However, most of these models only cover part of the system, are too much focused on specific research areas and use different design principles. In this papers the latest developments of a method for designing these Networking Adaptive Interactive Hybrid (human-machine) Systems is presented, paving the way to efficient and effective design and operation.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Creating Networking Adaptive Interactive Hybrid Systems: A Methodic Approach\",\"authors\":\"L. Kester\",\"doi\":\"10.1109/ICI.2011.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advances in network technologies enable distributed systems, operating in complex physical environments, to co-ordinate their activities over larger areas within shorter time intervals. Some envisioned application domains for such systems are defense, crisis management, traffic management, public safety and security, defense and smart infrastructures. In these systems, humans and intelligent machines will, in close interaction, be able to adapt their behavior under changing conditions and situations to reach their goals. Various architecture models are proposed for such systems from different research areas such as sensor web technology, data fusion, command and control, cognitive systems, multi agent systems, complex adaptive systems and cyber physical systems. However, most of these models only cover part of the system, are too much focused on specific research areas and use different design principles. In this papers the latest developments of a method for designing these Networking Adaptive Interactive Hybrid (human-machine) Systems is presented, paving the way to efficient and effective design and operation.\",\"PeriodicalId\":146712,\"journal\":{\"name\":\"2011 First International Conference on Informatics and Computational Intelligence\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 First International Conference on Informatics and Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICI.2011.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 First International Conference on Informatics and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICI.2011.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

网络技术的进步使在复杂物理环境中运行的分布式系统能够在更短的时间间隔内协调其在更大范围内的活动。这种系统的一些设想应用领域是国防、危机管理、交通管理、公共安全和安保、国防和智能基础设施。在这些系统中,人类和智能机器将在密切的互动中,能够在不断变化的条件和情况下调整自己的行为,以达到自己的目标。从传感器网络技术、数据融合、指挥与控制、认知系统、多智能体系统、复杂自适应系统和网络物理系统等不同的研究领域提出了不同的体系结构模型。然而,这些模型大多只覆盖了系统的一部分,过于专注于特定的研究领域,使用了不同的设计原则。本文介绍了网络自适应交互混合(人机)系统设计方法的最新进展,为高效设计和运行铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating Networking Adaptive Interactive Hybrid Systems: A Methodic Approach
Advances in network technologies enable distributed systems, operating in complex physical environments, to co-ordinate their activities over larger areas within shorter time intervals. Some envisioned application domains for such systems are defense, crisis management, traffic management, public safety and security, defense and smart infrastructures. In these systems, humans and intelligent machines will, in close interaction, be able to adapt their behavior under changing conditions and situations to reach their goals. Various architecture models are proposed for such systems from different research areas such as sensor web technology, data fusion, command and control, cognitive systems, multi agent systems, complex adaptive systems and cyber physical systems. However, most of these models only cover part of the system, are too much focused on specific research areas and use different design principles. In this papers the latest developments of a method for designing these Networking Adaptive Interactive Hybrid (human-machine) Systems is presented, paving the way to efficient and effective design and operation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信