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

本次研讨会旨在将人工智能（AI）领域重新聚焦于其传统目标：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到，包括计算机击败了最好的人类棋手，火星上机器人的自主操作以及深空一号小行星和彗星任务的自主控制，数以万计的美国人在准备每年的所得税时使用基于规则的系统；在许多应用中使用自然语言技术，包括网络搜索引擎和世界上最成功的文字处理软件。尽管取得了这些成功，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指导未来几十年人工智能研究的科学指南。研讨会还将帮助学生和其他人提高对人工智能领域迄今为止取得的成就以及仍然存在的令人兴奋的科学挑战的认识。人工智能技术已经应用于广泛的学科领域，通常是生物信息学和生态信息学跨学科努力的核心，基因组学和其他使用机器人技术的领域的努力，国土防御领域和其他领域的数据库集成和语义网活动的进步，以及许多其他需要管理或协调知识对成功至关重要的领域。帮助其他科学家了解迄今为止人工智能的贡献以及未来的潜力，可以预期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多应用。

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.