Workshops on Augmenting Individual Intelligence by Collaborating with People and Technologies

通过与人员和技术合作增强个人智力研讨会

基本信息

  • 批准号:
    2224813
  • 负责人:
  • 金额:
    $ 4.92万
  • 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:
    2022-04-15 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

Most impactful innovations involve people interacting with each other and with the tools that they build explicitly to help them think and/or perform better. The investigators will organize two workshops to explore the ways in which an individual’s thinking is augmented and shaped by other people as well as by tools. Coordination among people, artificial intelligence systems, decision algorithms, and learning technologies can give rise to adaptive problem solving far beyond the capabilities of single individuals. Workshop topics will include how to: facilitate the spread of useful information while reducing misinformation, combine judgments from many individuals (humans and other animals) for improved decision making, create policies and infrastructures that allow groups to effectively solve their shared problems, best combine the strengths of human and computer problem solving to create systems more advanced than either component on their own, and use computers to make human learning more efficient and flexible. The workshops will feature panelist presentations organized into themes and monthly group discussions. A broader impact of the workshop is to provide a venue for students anywhere in the world to learn about exciting developments in augmented intelligence. For students coming from smaller universities with few resources for research, the workshop would provide exposure to state-of-the-art research and opportunities to interact with leading researchers in this emerging field. The topic of augmented intelligence represents an exciting area of research that can inform many applications including: the optimization of team coordination, the design of intelligent tutoring systems, computer support for human decision making, and the organization of social media platforms.This two-part, temporally and geographically distributed workshop will integrate perspectives from cognitive scientists, computer scientists, education researchers, neuroscientists, and biologists to lay the foundations of a shared conceptual framework for a new science of augmented intelligence, premised on the observation that people very rarely solve problems or develop understandings on their own. Instead, people recruit other people and technologies to help them, and to such a large extent that the apt unit for understanding cognition is typically not an individual person, but rather a larger system that incorporates multiple people and the tools that they created to enhance their capabilities. The workshop participants will grapple with theoretical and applied questions involving the nature of minds, how adaptive systems come into existence that can robustly solve a wide range of problems, and how humans and machines can complement each other’s strengths during learning and knowledge creation. The workshop seeks to stimulate new research directions at the confluence of theoretical, empirical, and technological advances that hold promise of developing an integrative science of augmented intelligence, drawling from multiple disciplinary perspectives. Deliverable products from the workshop will include online public videos of participants’ lectures, archives of conversations, and special issues of journals devoted to augmented intelligence.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.
大多数有影响力的创新都涉及到人们之间的互动,以及他们明确构建的工具,以帮助他们更好地思考和/或执行。 研究人员将组织两个研讨会,探讨个人的思维是如何被其他人和工具增强和塑造的。 人、人工智能系统、决策算法和学习技术之间的协调可以产生远远超出单个人能力的自适应问题解决。 研讨会的主题将包括如何:在减少错误信息的同时促进有用信息的传播,联合收割机结合许多个人的判断(人类和其他动物),以改善决策,创造政策和基础设施,使团体,以有效地解决他们的共同问题,最好的联合收割机的优势,人类和计算机解决问题,创造系统更先进的比任何一个组件本身,并利用计算机使人类的学习更加有效和灵活。 讲习班将以按主题组织的专题介绍和每月小组讨论为特色。 研讨会的更广泛影响是为世界各地的学生提供一个场所,以了解增强智能的令人兴奋的发展。 对于来自研究资源较少的小型大学的学生,讲习班将提供接触最新研究的机会,并有机会与这一新兴领域的主要研究人员进行互动。 增强智能的主题代表了一个令人兴奋的研究领域,可以为许多应用提供信息,包括:团队协调的优化,智能辅导系统的设计,人类决策的计算机支持,以及社会媒体平台的组织。这个两部分,时间和地理分布的研讨会将整合认知科学家,计算机科学家,教育研究人员,神经科学家,和生物学家为增强智能的新科学奠定了共享概念框架的基础,并观察到人们很少自己解决问题或发展理解。 相反,人们会招募其他人和技术来帮助他们,在很大程度上,理解认知的适当单位通常不是一个单独的人,而是一个更大的系统,它包含了多个人和他们为增强能力而创造的工具。研讨会的参与者将努力解决涉及思想本质的理论和应用问题,如何形成能够强大地解决各种问题的自适应系统,以及人类和机器如何在学习和知识创造过程中相互补充。该研讨会旨在激发新的研究方向,融合理论,经验和技术进步,有望从多学科角度发展增强智能的综合科学。 研讨会的可推广产品将包括参与者讲座的在线公共视频、对话档案以及致力于增强智能的期刊特刊。该奖项反映了NSF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(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cognitive Science of Augmented Intelligence
  • DOI:
    10.1111/cogs.13229
  • 发表时间:
    2022-12-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Dubova, Marina;Galesic, Mirta;Goldstone, Robert L. L.
  • 通讯作者:
    Goldstone, Robert L. L.
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Robert Goldstone其他文献

High-throughput identification of emToxoplasma gondii/em effector proteins that target host cell transcription
高通量鉴定靶向宿主细胞转录的刚地弓形虫效应蛋白
  • DOI:
    10.1016/j.chom.2023.09.003
  • 发表时间:
    2023-10-11
  • 期刊:
  • 影响因子:
    18.700
  • 作者:
    Simon Butterworth;Kristina Kordova;Sambamurthy Chandrasekaran;Kaitlin K. Thomas;Francesca Torelli;Eloise J. Lockyer;Amelia Edwards;Robert Goldstone;Anita A. Koshy;Moritz Treeck
  • 通讯作者:
    Moritz Treeck
Trends and Determinants of Location of Death Due to Colorectal Cancer in the United States
  • DOI:
    10.1245/s10434-023-14337-y
  • 发表时间:
    2023-10-31
  • 期刊:
  • 影响因子:
    3.500
  • 作者:
    Swati Sonal;Bhav Jain;Simar S. Bajaj;Edward Christopher Dee;Chloe Boudreau;James C. Cusack;Hiroko Kunitake;Robert Goldstone;Liliana G. Bordeianou;Christy E. Cauley MD;Todd D. Francone;Rocco Ricciardi;Motaz Qadan;David L. Berger
  • 通讯作者:
    David L. Berger

Robert Goldstone的其他文献

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{{ truncateString('Robert Goldstone', 18)}}的其他基金

Transfer of perceptually grounded principles
感性基础原则的迁移
  • 批准号:
    0910218
  • 财政年份:
    2009
  • 资助金额:
    $ 4.92万
  • 项目类别:
    Standard Grant
Grounded and Transferable Knowledge of Complex Systems Using Computer Simulations
使用计算机模拟获得复杂系统的基础知识和可转移知识
  • 批准号:
    0527920
  • 财政年份:
    2005
  • 资助金额:
    $ 4.92万
  • 项目类别:
    Standard Grant
ROLE: Facilitating the Understanding of Complex Adaptive Systems Through Computer Simulations
角色:通过计算机模拟促进对复杂自适应系统的理解
  • 批准号:
    0125287
  • 财政年份:
    2001
  • 资助金额:
    $ 4.92万
  • 项目类别:
    Standard Grant
Concepts, Perceptions and Their Interactions
概念、看法及其相互作用
  • 批准号:
    9409232
  • 财政年份:
    1994
  • 资助金额:
    $ 4.92万
  • 项目类别:
    Continuing Grant

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