Steering a young science: Workshop proposal for 50th anniversary of American AI

引领年轻科学：美国人工智能诞生 50 周年研讨会提案

• 批准号: 0609678
• 负责人: James Hendler
• 金额: --
• 依托单位: Association for the Advancement of Artificial Intelligence
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0609678&HistoricalAwards=false
• 关键词: Steering; young; science; Workshop; proposal

This workshop is intended to refocus the field of artificial intelligence (AI) on its traditional goal: to understand the nature of cognition and its embodiment in human and artificial systems. The success of the field of AI can be seen in major accomplishments throughout the past decade including the beating of the best human chess player by a computer, the autonomous operation of robots on Mars and the autonomous control of the Deep Space One asteroid and comet mission, the use of rule-based systems by tens of thousands of Americans in the preparation of their yearly income taxes and the use of natural language technology in numerous applications including web search engines and the world's most successful word processing software. Despite these successes, the intellectual mission of understanding the nature of cognition remains one of the great challenges in modern science. The overall goal of this work is to develop scientific guidelines that will steer research in AI over the next several decades. The symposium will also help raise awareness by students and others both of the achievements to date of the AI field, and the exciting scientific challenges that still remain. Artificial intelligence technologies have been applied in a wide range of disciplines and are often at the core of interdisciplinary efforts in bioinformatics and ecoinformatics, efforts in genomics and elsewhere using robotic technologies, the advancement of database integration and semantic web activities in the homeland defense arena and elsewhere, and in a number of other fields where the need to manage or coordinate knowledge is crucial to success. Helping other scientists to understand the contributions of AI to date, and the potential for the future, can be expected to lead to further indisciplinary work and the greater application of AI techniques in the other sciences, as well as in priority areas such as e-commerce and homeland security.

该研讨会旨在将人工智能领域（AI）重新集中在其传统目标上：了解认知的性质及其在人类和人工系统中的体现。在过去的十年中，可以在重大成就中看到AI领域的成功，包括计算机击败最佳的人类国际象棋棋手，机器人在火星上的自主操作以及对深空的一项小行星和彗星的自主控制，对基于规则的系统的使用，包括美国人每年的搜索技术的数十次使用，包括他们的年度搜索技术，包括许多人的使用，包括许多人的使用，包括他们的年度使用，包括他们的数以千计的应用程序，包括许多人的使用，包括他们的年度使用，包括他们的年度使用，包括他们的年度使用。 软件。尽管取得了这些成功，但理解认知本质的智力使命仍然是现代科学的巨大挑战之一。这项工作的总体目标是制定科学指南，这些准则将在接下来的几十年中引导AI中的研究。该研讨会还将有助于提高学生和其他人的认识，这是AI领域迄今为止取得的成就，以及仍然存在的激动人心的科学挑战。人工智能技术已在广泛的学科中应用，并且通常是生物信息学和生态信息学方面的跨学科工作的核心，基因组学和其他地方的努力使用机器人技术，数据库集成的进步，在国土防御领域以及其他领域的知识中，在某些领域以及其他领域的领域都可以通过或其他领域来控制或其他领域。可以帮助其他科学家了解迄今为止AI的贡献，以及未来的潜力，可以导致进一步的非学科工作，并在其他科学中以及电子商务和祖国安全等优先领域中更大的AI技术应用。