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作用，即机器补充人类的弱点，以实现创新，而人类则回报机器。这种被称为创新辅助（IA）的方法代表了一种思考创新的基本新方式，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己创新。这是通过仔细理解所有创新所依赖的基本轴线来实现的：每一个创新解决方案都基于至少一个被忽视的问题（即，问题的特征。人类和机器有不同的理由忽视模糊的特征。人机交互中的每一个伙伴都将帮助对抗另一个？的弱点。到目前为止，研究人员已经设计了近20种创新技术，可以抵消人类忽视模糊特征的许多认知原因。这项技术已应用于STEM教育，律师，军队和工程师。这种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搜索数据库，以找到输入问题的类似解决方案。这项技术有可能用于军事环境，训练部队成为该领域更具创新性的问题解决者。这项技术的工程应用可以帮助项目更快地通过研究和开发阶段。这项技术满足了提高个人和组织创新能力的日益增长的需求。