I-Corps: Innovation Accelerator: A New Web-based Portal Software Tool to Find Disruptive Innovative Solutions

I-Corps：创新加速器：一种新的基于网络的门户软件工具，用于寻找颠覆性创新解决方案

• 批准号: 1261052
• 负责人: Sundar Krishnamurty
• 金额: $ 5万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1261052&HistoricalAwards=false
• 关键词: Corps; Innovation; Accelerator; New; Web

Researchers are developing a human-machine synergism in which the machine complements human weaknesses to being innovative while the human returns the favor for the machine. This method called Innovation Assistance (IA) represents a fundamental new way of thinking about innovation and replaces the minimally successful Artificial Intelligence techniques from the 1980's that were unable to get machines to be innovative by themselves. This is accomplished by carefully understanding the fundamental axis upon which all innovation turns: every innovative solution is based upon at least one overlooked (i.e., obscure) feature of the problem. Humans and machines have different reasons for overlooking obscure features. Each partner in the human-machine interaction will help counter the other?s weaknesses. Researchers have thus far devised nearly two dozen innovation techniques that counteract the many cognitive reasons why humans overlook obscure features. This technology has applications for STEM education, lawyers, the military and engineers. The problem-solving model used in this method has the potential to be used to alter innovative education in STEM fields. Techniques developed through IA will be able to more efficiently search databases for similar solutions to an entered problem. There is potential for this technology to be used in a military setting for training forces to be more innovative problem solvers in the field. Engineering applications of this technology could assist in moving projects more rapidly through research and development phases. This technology addresses a growing need to improve the innovation capabilities of individuals and organizations.

研究人员正在开发一种人机协同机制，其中机器可以弥补人类的弱点以进行创新，而人类则回报机器的青睐。这种称为创新援助 (IA) 的方法代表了一种思考创新的全新方式，并取代了 20 世纪 80 年代最不成功的人工智能技术，这些技术无法让机器自行创新。这是通过仔细理解所有创新所依赖的基本轴来实现的：每个创新解决方案都基于问题的至少一个被忽视（即模糊）的特征。人类和机器忽视模糊特征的原因不同。人机交互中的每个伙伴都将帮助克服对方的弱点。迄今为止，研究人员已经设计出近两打创新技术，抵消了人类忽视模糊特征的许多认知原因。该技术可应用于 STEM 教育、律师、军队和工程师。该方法中使用的问题解决模型有可能用于改变 STEM 领域的创新教育。通过IA开发的技术将能够更有效地在数据库中搜索输入问题的类似解决方案。这项技术有可能在军事环境中使用，训练部队成为该领域更具创新性的问题解决者。该技术的工程应用可以帮助项目更快地完成研发阶段。该技术满足了提高个人和组织创新能力日益增长的需求。