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AAAI 2011 Spring Symposium on Artificial Intelligence and Sustainable Design

AAAI 2011春季人工智能与可持续设计研讨会

基本信息

批准号：
1106480
负责人：
Douglas Fisher
金额：
$ 3万
依托单位：
Vanderbilt University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-04-01 至 2014-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1106480&HistoricalAwards=false
关键词：
AAAI 2011 Spring Symposium Artificial

项目摘要

Imperatives for environmental and societal sustainability are challenging designers to consider factors that had been previously given little attention. The Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposium on Artificial Intelligence and Sustainable Design, held March 21-23, 2011 at Stanford University, focuses on the challenges of sustainable design and the role that artificial intelligence (AI) plays in understanding and achieving sustainability. The presumption is that the increased complexity of design necessitated by a desire for very long-term planet sustainability, to include cradle-to-cradle design, requires application of and advances in AI. NSF funds are supporting travel, subsistence and registration of symposium participants. The symposium and follow-up discussion will elaborate current and future research directions at the intersection of AI, design, and sustainability. We anticipate that the AAAI Symposium proceedings and the nascent AI and Sustainable Design community will be of interest outside of AI and computing. Sustainable design is a topic of importance to society; bringing this topic to the attention of AI researchers has the potential for advances in sustainable design that go beyond current computational and design approaches.

环境和社会可持续发展的必要性正在挑战设计师考虑以前很少被关注的因素。2011年3月21日至23日，美国人工智能促进协会（AAAI）在斯坦福大学举行了人工智能与可持续设计春季研讨会，重点关注可持续设计的挑战以及人工智能（AI）在理解和实现可持续发展方面所扮演的角色。我们的假设是，为了实现地球的长期可持续性，包括从摇篮到摇篮的设计，设计的复杂性不断增加，这就需要人工智能的应用和进步。美国国家科学基金会资助了会议参与者的旅行、生活和注册。研讨会和后续讨论将详细阐述人工智能、设计和可持续性交叉领域当前和未来的研究方向。我们预计AAAI研讨会的会议记录以及新兴的AI和可持续设计社区将会在AI和计算之外引起人们的兴趣。可持续设计是一个重要的社会话题；将这个话题引起人工智能研究人员的注意，有可能在可持续设计方面取得超越当前计算和设计方法的进步。