报告人：Dr. Jeffrey M. Bradshaw
报告题目：Human-Agent-Robot Teamwork (HART)
报告时间：2012年11月29日上午11:00-12:00
报告地点：玉泉校区 教九-207

报告摘要

Researchers and developers are pursuing increasingly sophisticated roles for autonomous systems. Whether working within networked systems as software agents or embedded in robots and unmanned vehicles, what makes these systems valuable is their intelligent, active, and adaptive nature. These qualities are often characterized in intelligent systems literature by the word “autonomy”―a catch-all label that highlights the qualities of self-directedness and self-sufficiency in task performance. Research in Human-Agent-Robot Teamwork (HART) seeks to bring together the best thinking from diverse research communities in order to advance current and anticipated applications of intelligent human-machine collaboration. Addressing the technology gap created by the emphasis of past research on how to make machines self-sufficient, modest efforts are beginning to emerge to understand and develop capabilities that would allow the participation of humans as first-class citizens in collaboration with autonomous systems. Such capabilities would enable autonomous systems not merely to do things for people, but also to work together with people and other systems―the inevitable next advance required in autonomous system design and deployment.

报告人简介
Dr. Jeffrey M. Bradshaw is a Senior Research Scientist at the Florida Institute for Human and Machine Cognition (IHMC) where he leads the research group developing the KAoS policy and domain services framework. Jeff’s research focus covers a wide variety of topics such as policy-based coordination of joint activity in humans and machines, Semantic Web technologies, adjustable autonomy and mixed-initiative interaction, cognitive systems, biologically-inspired security, visualization and performance support for complex analysis problems, network science, and augmented cognition.