AI Institute: Planning: Foundations of Intelligence in Natural and Artificial Systems

该项目将为未来的人工智能(AI)研究所制定蓝图，该研究所将研究广泛的自然和技术系统中的智能基础。鉴于人工智能技术在日常生活中的普及，以及这些技术在未来几十年预计将产生的越来越大的影响，人工智能研究人员必须开发更可靠、更通用、更具适应性的系统，这些系统值得信赖，可以更成功地与人类协作。人工智能研究的新突破最有可能来自人工智能专家和研究人员之间的集中合作努力，他们深入思考不同学科中智能的本质。通过有重点的研讨会、研讨会以及众多教育和外联活动，该项目将汇集来自广泛学科的专家，以制定出来自自然界智能系统的见解如何为人工智能进步提供信息和激励。结果将通过研讨会报告和教育材料传播，最重要的是，一个研究所的详细建议将通过对自然和人工智能的更广泛和更深入的看法来推动人工智能，花时间制定更长期的问题和方法。这个规划项目的目标是(1)规划出将成为未来研究所主题的重要研究主题、问题、方法和应用，以及所需的基础设施；(2)建立研究合作并进行初步研究；(3)规划研究所将如何与整个国家和国际人工智能社区接触，以及研究所的教育和外联计划。这个为期两年的规划项目将探索对智能研究至关重要的五个研究主题，并代表设想中的人工智能研究所将解决的各种跨学科问题：1.跨学科的智能分类；2.智能系统的发展和生活史；3.概念形成、抽象和类比；4.集体智能；5.进化和共同进化智能。这些主题将在许多讲习班、项目会议以及教育和外联活动中加以探讨，这些活动将把来自不同学科的研究人员聚集在一起，制定问题和方法，并参与由这些问题驱动的初步研究。所有这些活动的结果将被总结在公开可用的报告中，并在设想的人工智能研究所的详细蓝图中综合。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will develop a blueprint for a future artificial intelligence (AI) institute that will study the foundations of intelligence across a broad array of natural and technological systems. Given the pervasiveness of AI technologies in everyday life and the expected increased impact of these technologies in upcoming decades, it is imperative that AI researchers develop more reliable, general, and adaptable systems, ones that are trustworthy and that can more successfully collaborate with humans. New breakthroughs in AI research are most likely to come from concentrated collaborative efforts between AI specialists and researchers who think deeply about the nature of intelligence in different disciplines. Via focused workshops, seminars, and numerous education and outreach activities, this project will bring together experts from a broad swath of disciplines to map out ways in which insights from intelligent systems in nature can inform and inspire AI progress. The results will be disseminated via workshop reports and educational materials, and, most importantly, a detailed proposal for an institute that would advance AI through a broader and deeper view of intelligence, both natural and artificial, taking the time to formulate longer-term questions and approaches.The goals of this planning project are to (1) map out the important research themes, questions, methods, and applications that would be the topics of the prospective institute, as well as the needed infrastructure; (2) build research collaborations and perform preliminary research; (3) plan for how the institute will engage with the overall national and international AI community, and for the institute’s education and outreach programs. This two-year planning project will explore five research themes that are central to the study of intelligence and representative of the kinds of interdisciplinary problems that the envisioned AI institute would address: 1. A Taxonomy of Intelligence across Disciplines; 2. Development and Life History of Intelligent Systems; 3. Concept Formation, Abstraction, and Analogy; 4. Collective Intelligence; 5. Evolutionary and Co-Evolutionary Intelligence. These themes will be explored in numerous workshops, project meetings, and educational and outreach activities that will bring together researchers from diverse disciplines to map out questions and methods as well as to engage in preliminary research driven by these questions. The results of all of these activities will be summarized in publicly available reports, and synthesized in a detailed blueprint for an envisioned AI institute.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.