Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
What local action can agents take, without the benefit of global knowledge, to produce the best global solution? Many dynamic distributed systems can be modeled using techniques f...
A space-time optimal power schedule for multiple distributed multiple-input multiple-output (MIMO) links without the knowledge of the instantaneous channel state information at th...
Yue Rong, Yingbo Hua, Ananthram Swami, A. Lee Swin...
Internet based services, particularly asynchronous communication services, offer an environment suited to the rise of knowledge communities. Knowledge communities, or invisible co...
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...