HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID]
HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID]
批准号:
EP/I011587/1
负责人:
Nick Jennings
金额:
$705.52万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --
中文摘要
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英文摘要
With a reported 5 billion mobile subscriptions worldwide, access to communication technologies has reached unprecedented levels and has fundamentally altered the ways in which we experience computational systems. Once delivered through a desktop machine to an office worker, computing has become an interwoven feature of everyday life across the globe in a way that profoundly affects us all. We are now interconnected using mobile devices; we routinely invoke remote services through a global cloud infrastructure and increasingly rely on computational devices in our everyday life. Computational devices monitor our health, entertain us, guide us and keep us safe and secure. However, this explosive growth in these devices and on-line services is only a precursor to an era of ubiquity, where each of us will routinely rely upon a plethora of smart and proactive computers that we carry with us, access at home and at work, and that are embedded into the world around us. As computation increasingly pervades the world around us, it will profoundly change the ways in which we work with computers. Rather than issuing instructions to passive machines, we will increasingly work in partnership with highly inter-connected computational components (aka agents) that are able to act autonomously and intelligently. Specifically, humans and software agents will continually and flexibly establish a range of collaborative relationships with one another, forming human-agent collectives (HACs) to meet their individual and collective goals. This vision of people and computational agents operating at a global scale offers tremendous potential and, if realised correctly, will help us meet the key societal challenges of sustainability, inclusion, and safety that are core to our future. However, these benefits are mirrored by the potential of equally concerning pitfalls as we shift to becoming increasingly dependent on systems that interweave human and computational endeavour.As systems based on human-agent collectives grow in scale, complexity and temporal extent, we will increasingly require a principled science that allows us to reason about the computational and human aspects of these systems if we are to avoid developments that are unsafe, unreliable and lack the appropriate safeguards to ensure societal acceptance.Delivering this science is the core research objective of this Programme. In more detail, it seeks to establish the new science that is needed to understand, build and apply HACs that symbiotically interleave human and computer systems to an unprecedented degree. To this end, it brings together three world-leading academic groups from the Universities of Southampton, Oxford and Nottingham (with multi-disciplinary expertise in the areas of artificial intelligence, agent-based computing, machine learning, decentralised information systems, participatory systems, and ubiquitous computing) with industrial collaborators (initially BAE Systems, PRI Ltd and the Australian Centre for Field Robotics) to collectively establish the foundational scientific underpinnings of these systems and drive these understandings to real-world applications in the critical domains of future energy networks, and disaster response.
期刊论文(10)
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C-Link: a hierarchical clustering approach to large-scale near-optimal coalition formation
C-Link:一种用于大规模近最优联盟形成的层次聚类方法
DOI:
--
发表时间:
期刊:
影响因子:
--
作者:
[Alessandro Farinelli (Author)]
通讯作者:
Alessandro Farinelli (Author)
DOI:
--
发表时间:
2014
期刊:
Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems
影响因子:
--
作者:
[Alan A]
通讯作者:
Alan A
DOI:
10.1093/mnras/stv2425
发表时间:
2015-05
期刊:
ArXiv
影响因子:
--
作者:
[I. Almosallam;Sam N. Lindsay;M. Jarvis;S. Roberts]
通讯作者:
I. Almosallam;Sam N. Lindsay;M. Jarvis;S. Roberts
Economic Prediction using Heterogeneous Data Streams from the World Wide Web.
使用来自万维网的异构数据流进行经济预测。
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
[A. Levenberg]
通讯作者:
A. Levenberg
DOI:
10.1111/j.1365-2966.2011.18697.x
发表时间:
2011-03
期刊:
Monthly Notices of the Royal Astronomical Society
影响因子:
4.8
作者:
[A. Karastergiou;S. Roberts;S. Johnston;Hyoung-joo Lee;P. Weltevrede;M. Kramer]
通讯作者:
A. Karastergiou;S. Roberts;S. Johnston;Hyoung-joo Lee;P. Weltevrede;M. Kramer
共 8 条
Core Equipment Award 2020 - Imperial College London
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批准号:EP/V03457X/1
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项目类别:Research Grant
-
资助金额:$191.13万
-
财政年份:2020
-
负责人:Nick Jennings
-
依托单位:
EPSRC Capital Award for Core Equipment - Imperial College London
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批准号:EP/T024712/1
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项目类别:Research Grant
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资助金额:$107.06万
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财政年份:2019
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负责人:Nick Jennings
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依托单位:
GCRF IAA NGO Data ESRC-8 Imperial College London 2018
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批准号:ES/S501396/1
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项目类别:Research Grant
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资助金额:$4.56万
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财政年份:2018
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负责人:Nick Jennings
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依托单位:
Capital Award support for Early Career Researchers at Imperial College London
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批准号:EP/S017852/1
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项目类别:Research Grant
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资助金额:$76.45万
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财政年份:2018
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负责人:Nick Jennings
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依托单位:
SPIN-Lab
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批准号:EP/P030548/1
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项目类别:Research Grant
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资助金额:$243.12万
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财政年份:2017
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负责人:Nick Jennings
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依托单位:
IF-IAA-ESRC-8 Imperial College London 2017
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批准号:ES/R501141/1
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项目类别:Research Grant
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资助金额:$3.05万
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财政年份:2017
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负责人:Nick Jennings
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依托单位:
GCRF-IAA-ESRC-11 Imperial College London 2016
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批准号:ES/P500768/1
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项目类别:Research Grant
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资助金额:$5.1万
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财政年份:2016
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负责人:Nick Jennings
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依托单位:
AUTONOMIC SUPPLY CHAINS IN COMPUTATIONAL ECONOMIES
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批准号:EP/F067143/1
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项目类别:Research Grant
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资助金额:$15.26万
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财政年份:2008
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负责人:Nick Jennings
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依托单位:
国内基金
海外基金
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基于多模态 AI Agent的面部痤疮瘢痕临床特征评估与治疗方案优化系统的研究
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批准号:2026JJ82357
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项目类别:省市级项目
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资助金额:--
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批准年份:2026
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负责人:罗滔
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依托单位:
基于首创感染性疾病智能体UNION-Agent的SFTS全流程智慧管理模式探索性研究
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批准号:JCZRQNB202600735
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项目类别:省市级项目
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资助金额:--
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批准年份:2026
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负责人:
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依托单位:
基于Agent的自动化渗透测试技术研究
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:谭劲松
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依托单位:
AI Agent赋能中小企业智能决策系统研究
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:蔡孝成
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依托单位:
大模型Agent驱动的AI制药关键技术研究
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批准号:
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项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:
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依托单位:
计算机控制Agent在可交互式企业征信报告生成的应用研究
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批准号:
-
项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:林嘉诚
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依托单位:
混合多元区域情境下多Agent的自主协同决策方法研究
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批准号:62306099
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项目类别:青年科学基金项目
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资助金额:30.00万元
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批准年份:2023
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负责人:艾兵
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依托单位:
基于操控员情境意识状态可解释Agent的智能交互触发机制研究
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批准号:62376220
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项目类别:面上项目
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资助金额:50万元
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批准年份:2023
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负责人:于薇薇
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依托单位:
基于多Agent仿真模型的新能源汽车市场渗透研究
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批准号:2023JJ60196
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项目类别:省市级项目
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资助金额:--
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批准年份:2023
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负责人:黄建
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依托单位:
面向联排联调的城市复合洪涝灾害风险Agent建模与智能决策
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批准号:42371092
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项目类别:面上项目
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资助金额:50万元
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批准年份:2023
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负责人:王慧敏
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依托单位: