Travel: Doctoral Consortium at the 22nd International Conference on Autonomous Agents and Multiagent Systems

旅行:博士联盟出席第 22 届自主代理和多代理系统国际会议

基本信息

  • 批准号:
    2334707
  • 负责人:
  • 金额:
    $ 2.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2025-03-31
  • 项目状态:
    未结题

项目摘要

This grant supports travel for select students participating in the Doctoral Mentoring Consortium (DMC) at the 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2023) will be held in London, England, May 29 - June 2, 2023. This is the premier international conference for researchers in agents and multi-agent systems (MAS) across a fully international research community. This consortium is oriented on research and career development for students who have identified their PhD topics and are just embarking on that independent research. The central activities for the DMC include opportunities for students to present and discuss their work with their peers; interaction with an identified group of senior researchers for advice on Ph.D. research, a career panel to discuss career choices in industry and academia, small group activities led by assigned mentors, and a great deal of opportunity for interactions with the international research community in AAMAS, which might lead to future collaborative activity. In addition, the DMC includes a tutorial program with full-day and half-day tutorials that will provide detailed overviews of specific subfields by leading researchers in the field. Sponsoring student travel to AAMAS conveys many benefits beyond the DMC program. The sponsored students have full access to a well-developed AAMAS workshop and conference program covering a diverse range of research areas in this community. This is an opportunity for students to engage in discussion with scientists from around the world and to explore new research directions and topics. AAMAS is the major international conference that will figure prominently in the research careers of students who remain involved in agents and MAS. Students gain valuable research insights from the exchange of technical ideas in this broader venue. In the process, they make valuable connections with potential collaborators from around the world. As intelligent software and embodies systems become more prevalent, it is clear that advances in intelligent agent technology will have significant impact in virtually any domain imaginable, including such national priorities as health and well-being, e-commerce, and national defense.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这项赠款支持参加第22届国际自治国际代理和多代理系统国际会议(AAMAS 2023)的精选学生(DMC),将于2023年5月29日至6月29日在英国伦敦举行。 该财团针对已经确定其博士主题并开始进行独立研究的学生的研究和职业发展。 DMC的中心活动包括学生与同龄人展示和讨论他们的工作的机会;与确定的一组高级研究人员的互动,以获取博士学位的建议。研究,一个职业小组,讨论在行业和学术界的职业选择,由指派导师领导的小组活动以及与AAMAS国际研究界互动的大量机会,这可能会导致未来的协作活动。此外,DMC还包括一个包含全日和半天教程的教程计划,该课程将提供该领域领先研究人员的特定子领域的详细概述。赞助学生前往AAMA的旅行传达了DMC计划以外的许多好处。赞助的学生可以完全访问涵盖该社区各种研究领域的各种研究领域的完善的AAMAS研讨会和会议计划。这是学生与来自世界各地的科学家进行讨论并探索新的研究方向和主题的机会。 AAMAS是主要的国际会议,它将在参与代理商和MAS的学生的研究生涯中占有重要地位。在这个更广泛的场地,学生从技术思想的交流中获得了宝贵的研究见解。在此过程中,他们与来自世界各地的潜在合作者建立了宝贵的联系。随着智能软件和体现系统变得越来越普遍,很明显,智能代理技术的进步将对几乎可以想象的任何领域产生重大影响,包括诸如健康和福祉,电子商务和国防部的国家优先事项。该奖项反映了NSF的法规使命,并被认为是通过基金会的知识优点和广泛的评估来进行评估,这是值得通过评估来进行评估的。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Ferdinando Fioretto其他文献

A Large Neighboring Search Schema for Multi-agent Optimization
用于多智能体优化的大型邻近搜索模式
Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately - Releasing Optimal Power Flow Benchmarks Privately
基于约束的差分隐私:私下发布最优潮流基准 - 私下发布最优潮流基准
  • DOI:
    10.1007/978-3-319-93031-2_15
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Ferdinando Fioretto;Pascal Van Hentenryck
  • 通讯作者:
    Pascal Van Hentenryck
Personalized Privacy Auditing and Optimization at Test Time
测试时的个性化隐私审核和优化
  • DOI:
    10.48550/arxiv.2302.00077
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Cuong Tran;Ferdinando Fioretto
  • 通讯作者:
    Ferdinando Fioretto
Solving DCOPs with Distributed Large Neighborhood Search
通过分布式大邻域搜索解决 DCOP
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ferdinando Fioretto;A. Dovier;Enrico Pontelli;W. Yeoh;R. Zivan
  • 通讯作者:
    R. Zivan
PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets
  • DOI:
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ferdinando Fioretto
  • 通讯作者:
    Ferdinando Fioretto

Ferdinando Fioretto的其他文献

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{{ truncateString('Ferdinando Fioretto', 18)}}的其他基金

Collaborative Research: RI: Small: Deep Constrained Learning for Power Systems
合作研究:RI:小型:电力系统的深度约束学习
  • 批准号:
    2345528
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Small: Privacy and Fairness in Critical Decision Making
协作研究:SaTC:核心:小型:关键决策中的隐私和公平
  • 批准号:
    2345483
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Physics Informed Real-time Optimal Power Flow
合作研究:基于物理的实时最佳潮流
  • 批准号:
    2334448
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Travel: Doctoral Consortium at the 22nd International Conference on Autonomous Agents and Multiagent Systems
旅行:博士联盟出席第 22 届自主代理和多代理系统国际会议
  • 批准号:
    2246464
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Collaborative Research: RI: Small: End-to-end Learning of Fair and Explainable Schedules for Court Systems
合作研究:RI:小型:法院系统公平且可解释的时间表的端到端学习
  • 批准号:
    2232054
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
CAREER: End-to-end Constrained Optimization Learning
职业:端到端约束优化学习
  • 批准号:
    2401285
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Continuing Grant
Collaborative Research: RI: Small: End-to-end Learning of Fair and Explainable Schedules for Court Systems
合作研究:RI:小型:法院系统公平且可解释的时间表的端到端学习
  • 批准号:
    2334936
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Physics Informed Real-time Optimal Power Flow
合作研究:基于物理的实时最佳潮流
  • 批准号:
    2242931
  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
CAREER: End-to-end Constrained Optimization Learning
职业:端到端约束优化学习
  • 批准号:
    2143706
  • 财政年份:
    2022
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Small: Privacy and Fairness in Critical Decision Making
协作研究:SaTC:核心:小型:关键决策中的隐私和公平
  • 批准号:
    2133169
  • 财政年份:
    2021
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant

相似海外基金

Travel: Doctoral Consortium at the 23rd International Conference on Autonomous Agents and Multiagent Systems
旅行:博士联盟出席第 23 届自主代理和多代理系统国际会议
  • 批准号:
    2341227
  • 财政年份:
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  • 财政年份:
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  • 项目类别:
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  • 批准号:
    2414093
  • 财政年份:
    2024
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
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旅行:为参加 ACM 计算系统人为因素会议 (CHI 2024) 的博士联盟提供 NSF 学生旅行补助金
  • 批准号:
    2412553
  • 财政年份:
    2024
  • 资助金额:
    $ 2.5万
  • 项目类别:
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  • 批准号:
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  • 财政年份:
    2023
  • 资助金额:
    $ 2.5万
  • 项目类别:
    Standard Grant
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