Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
We present a demonstration of a multi-agent prototype for distributed planning and coordination in dynamic non-deterministic multi-actor mixed-initiative environments. The system ...
— Wireless mesh networks are a viable solution to provide broadband wireless access (BWA) in a cost efficient and flexible manner. The IEEE 802.16 standard is currently one of ...
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...