SBIR Phase I: Evolving Object Neural Networks

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。产生这种行为的需求在许多领域都得到了证明，包括游戏、商业运作和军事交战。本研究的目的是为自适应系统确定合适的方法，以探索资源的其他可能分配，并学习如何在最小的人为干预下对刺激作出反应。研究将集中在进化计算和神经网络的结合上，特别是，将包括对象网络，该网络可以检查场景的各个部分，并结合起来提供有关适当行动过程的决策。预期的结果包括确定发展这些复杂目标神经网络的适当方法，以及结果直接应用于商业市场的适用性，特别是在软件娱乐领域。可能的商业应用包括动态战斗环境的战略评估，供应链管理和物流业务运营的优化。以及电子游戏中智能对手的发展。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。

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.