PYI: Architectures and Algorithms for Autonomous Intelligent Systems

总统青年研究人员奖将支持在资源约束下的最优决策(有限理性理论)的研究，以及在概率域中为有效的概念归纳而进行的偏差控制研究。一个特别的推动力是将现有的背景知识纳入神经网络学习系统。罗素博士将把这项工作应用于机器人机械手的学习、路径规划以及模拟和物理机器人系统的控制架构。他在有限理性和效用理论方面的研究可能会在其他决策领域有更多的应用。

This Presidential Young Investigator Award will support research in optimal decision making under resource constraints (the theory of bounded rationality) and studies of bias control for effective concept induction in probabilistic domains. A special thrust is the incorporation of existing background knowledge in neural- network learning systems. Dr. Russell will apply this work to robotic manipulator learning, path planning, and control architectures for simulated and physical robotic systems. His research in bounded rationality and utility theory may have additional applications in other areas of decision making.