PYI: Architectures and Algorithms for Autonomous Intelligent Systems

这项总统青年研究员奖将支持研究 在资源约束下的最优决策（理论 有限理性）和偏差控制的研究，有效的 概率领域的概念归纳。 一个特殊的推力是 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 机器人机械手学习、路径规划和控制 用于模拟和物理机器人系统的架构。 他 有限理性和效用理论的研究 在其他决策领域的应用。

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.