SBIR Phase I: Evolving Object Neural Networks

SBIR 第一阶段：进化对象神经网络

• 批准号: 0232124
• 负责人: David Fogel
• 金额: $ 9.99万
• 依托单位: NATURAL SELECTION, INCORPORATED
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0232124&HistoricalAwards=false
• 关键词: SBIR; Phase; Evolving; Object; Neural

This Small Business Innovation Research Phase I project will investigate the problem of generating intelligent behavior in complex settings. The need for generating such behavior is evidenced in many areas, including game playing, business operations, and military engagements. The objective of the research is to identify suitable means for a self-adaptive system to explore alternative possible allocations of resources and to learn how to respond to stimuli with only minimal human intervention. The research will focus on the combination of evolutionary computation and neural networks, and, in particular, will include object networks that examine subsections of a scene and are combined to render a decision regarding the appropriate course of action. The anticipated results include the identification of appropriate methods for evolving these complex object neural networks, as well as the suitability of the results for direct application in commercial markets, particularly in the area of software entertainment The possible commercial applications include strategic assessment of dynamic combat environments, optimization of business operations in supply-chain management and logistics, and the development of intelligent opponents in video games. Natural Selection, Inc plans to focus on video game products as the most direct method for bringing the research to a commercial application with significant impact.

这个小企业创新研究第一阶段项目将研究在复杂环境中产生智能行为的问题。 产生这种行为的需要在许多领域都得到了证明，包括游戏、商业运营和军事交战。 该研究的目的是确定合适的手段，为自适应系统，探索替代可能的资源分配，并学习如何响应刺激，只有最小的人为干预。 该研究将重点关注进化计算和神经网络的结合，特别是将包括对象网络，这些网络检查场景的子部分，并进行组合以做出有关适当行动方案的决策。 预期的结果包括识别用于发展这些复杂对象神经网络的适当方法，以及结果在商业市场中的直接应用的适用性，特别是在软件娱乐领域 可能的商业应用包括动态作战环境的战略评估，供应链管理和物流业务运营的优化，以及视频游戏中智能对手的开发。 自然选择公司计划将重点放在视频游戏产品上，作为将研究成果转化为具有重大影响的商业应用的最直接方法。