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

本次研讨会旨在重新聚焦人工智能（AI）领域的传统目标：理解认知的本质及其在人类和人工系统中的体现。人工智能领域的成功可以从过去十年的重大成就中看出，包括计算机击败最好的人类棋手，火星上机器人的自主操作以及深空一号小行星和彗星使命的自主控制，规则的使用-成千上万的美国人在准备他们的年度所得税和自然语言技术在许多应用程序中的使用，网络搜索引擎和世界上最成功的文字处理软件。尽管取得了这些成就，但理解认知本质的智力使命仍然是现代科学的重大挑战之一。这项工作的总体目标是制定科学指导方针，指导未来几十年的人工智能研究。研讨会还将有助于提高学生和其他人对人工智能领域迄今取得的成就以及仍然存在的令人兴奋的科学挑战的认识。人工智能技术已应用于广泛的学科，并经常在生物信息学和生态信息学的跨学科努力的核心，在基因组学和其他地方使用机器人技术的努力，在国土防御竞技场和其他地方的数据库集成和语义网活动的进步，以及在一些其他领域，需要管理或协调知识是成功的关键。帮助其他科学家了解人工智能迄今为止的贡献以及未来的潜力，预计将导致进一步的跨学科工作和人工智能技术在其他科学以及电子商务和国土安全等优先领域的更大应用。

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.