CCRI: Planning-C: Developing a Minecraft-based Testbed for Evaluating Human-AI Teaming Research
CCRI:Planning-C:开发基于 Minecraft 的测试平台,用于评估人类-人工智能团队研究
基本信息
- 批准号:2213827
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-15 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Human AI Teaming (HAT) is an emerging and rapidly evolving field where physical and virtual spaces require rapid strategic and tactical decision-making. In the context of national security, it is imperative to develop tools that can accelerate what is known as the observation to action loop, enabling decision makers to take swift and effective action that can reduce the impacts of our adversarial threats. It is common for teams to operate in dynamic and uncertain environments and they will require not only cooperation between human and artificial agents, but the use of artificial intelligence (AI) to help structure those teams, create plans of actions, execute those plans, and adapt plans as the environment and goals change. This integration between human and artificial agents can be used to enhance the speed and accuracy of human decision makers; automate the generation, evaluation, and execution of mission plans; and improve training effectiveness. This CISE Computing Research Infrastructure (CCRI) planning grant will undertake an exhaustive community-centric requirements gathering, testing and finalization process that would result in a comprehensive set of features necessary to build a software suite comprising of tools that would improve the effectiveness of human AI teams. Specifically, the proposed software testbed would be flexible and customizable to meet the needs of a broad community of AI researchers and helps them accelerate the development of AI agents that are designed to work in Human AI teams. By organizing the AI community into multiple working groups and disseminating the results via a workshop, the project aims to develop the requirements for modifying the popular Minecraft gaming platform including the data engineering, testing and evaluation requirements for tools that would achieve the desired goals within the HAT community of researchers. The team builds upon prior success in using Minecraft for conducting HAT experiments in Urban Search and Rescue (USR) based settings and broaden its use among AI researchers who would be interested in developing and testing HAT experiments. The resulting community feedback would be integrated into a CCRI full proposal that aims to build the software suite based on the requirements arising from the activities conducted via the planning grant.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.
人类人工智能团队(HAT)是一个新兴和快速发展的领域,物理和虚拟空间需要快速的战略和战术决策。在国家安全的背景下,必须开发能够加速所谓观察到行动循环的工具,使决策者能够采取迅速有效的行动,减少我们的敌对威胁的影响。团队在动态和不确定的环境中运作是很常见的,他们不仅需要人类和人工代理之间的合作,还需要使用人工智能(AI)来帮助构建这些团队,创建行动计划,执行这些计划,并随着环境和目标的变化而调整计划。人类和人工智能体之间的这种整合可以用来提高人类决策者的速度和准确性;自动生成、评估和执行任务计划;提高培训效果。CISE计算研究基础设施(CCRI)计划拨款将进行详尽的以社区为中心的需求收集、测试和最终确定过程,这将产生一套全面的功能,以构建一个包含工具的软件套件,从而提高人类人工智能团队的效率。具体来说,拟议的软件测试平台将是灵活和可定制的,以满足广泛的人工智能研究人员社区的需求,并帮助他们加速设计用于人类人工智能团队的人工智能代理的开发。通过将AI社区组织成多个工作组并通过研讨会传播结果,该项目旨在开发修改流行的Minecraft游戏平台的需求,包括数据工程,测试和评估工具需求,这些工具将实现HAT研究人员社区的预期目标。该团队建立在先前成功使用Minecraft在城市搜索和救援(USR)环境中进行HAT实验的基础上,并在对开发和测试HAT实验感兴趣的AI研究人员中扩大其使用范围。社区的反馈意见将被整合到CCRI的完整建议中,该建议旨在根据通过规划补助金进行的活动所产生的需求来构建软件套件。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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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Wenlong Zhang其他文献
An adaptive rate control scheme for multi-screen sharing system based on H.264/SVC
基于H.264/SVC的多屏共享系统自适应码率控制方案
- DOI:
10.1109/iccwamtip.2014.7073395 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Shizhe Tan;Wenlong Zhang;Yuandong Li - 通讯作者:
Yuandong Li
The Sweep of Things
事物的扫荡
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Wenlong Zhang;Xiangli Meng;Junwei Wang - 通讯作者:
Junwei Wang
The role of microbial communities on primary producers in aquatic ecosystems: Implications in turbidity stress resistance
微生物群落对水生生态系统初级生产者的作用:对浊度胁迫抵抗力的影响
- DOI:
10.1016/j.envres.2022.114353 - 发表时间:
2022 - 期刊:
- 影响因子:8.3
- 作者:
Wenlong Zhang;Pengcheng Zhou;Shenyang Pan;Yi Li;Li Lin;Lihua Niu;Longfei Wang;Huanjun Zhang - 通讯作者:
Huanjun Zhang
Short-term changes in simulated inundation frequency differentially affect inorganic nitrogen, nitrification, and denitrification in estuarine marshes
模拟淹没频率的短期变化对河口沼泽无机氮、硝化作用和反硝化作用的影响存在差异
- DOI:
10.1016/j.ecolind.2019.105571 - 发表时间:
2019-12 - 期刊:
- 影响因子:6.9
- 作者:
Weifang Hu;Wenlong Zhang;Linhai Zhang;Xianbiao Lin;Chuan Tong;Derrick Y.F. Lai;Yuemin Chen;Congsheng Zeng - 通讯作者:
Congsheng Zeng
Corrosion behaviour of nanocrystallines 304 stainless steel in simulated secondary side environment
纳米晶304不锈钢在模拟二次侧环境中的腐蚀行为
- DOI:
10.1080/02670836.2019.1595896 - 发表时间:
2019 - 期刊:
- 影响因子:1.8
- 作者:
Jiang Liu;Chunming Wang;Wenlong Zhang;Tingting Xia;Xuehui Zhang;Tongxiang Liang;Tahir Ahmad;Bin Yang - 通讯作者:
Bin Yang
Wenlong Zhang的其他文献
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{{ truncateString('Wenlong Zhang', 18)}}的其他基金
Collaborative Research: SLES: Safe Distributional-Reinforcement Learning-Enabled Systems: Theories, Algorithms, and Experiments
协作研究:SLES:安全的分布式强化学习系统:理论、算法和实验
- 批准号:
2331781 - 财政年份:2023
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
I-Corps: Wearable Soft Robotic Glove for Hand Assistance and Rehabilitation
I-Corps:用于手部辅助和康复的可穿戴软机器人手套
- 批准号:
2132714 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CAREER: Facilitating Human Interaction with Assistive Robots Through Intent Signaling and Inference
职业:通过意图信号和推理促进人类与辅助机器人的交互
- 批准号:
1944833 - 财政年份:2020
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
NRI: FND: Scalable and Customizable Intent Inference and Motion Planning for Socially-Adept Autonomous Vehicles
NRI:FND:适用于社交自动驾驶车辆的可扩展和可定制的意图推理和运动规划
- 批准号:
1925403 - 财政年份:2019
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
CRII: CHS: Enabling Safe and Adaptive Robot-aided Gait Training through Biomechanical Characterization and Learning from Demonstration
CRII:CHS:通过生物力学表征和从演示中学习,实现安全和自适应机器人辅助步态训练
- 批准号:
1756031 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
EAGER: Distributed Iterative Control of Soft Robotic Arms
EAGER:软机械臂的分布式迭代控制
- 批准号:
1800940 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
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