This paper presents a scalable, adaptive and timebounded general approach to assure reliable, real-time Node-Failure Detection (NFD) for large-scale, high load networks comprised ...
Matthew Gillen, Kurt Rohloff, Prakash Manghwani, R...
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
Human team members often develop shared expectations to predict each other’s needs and coordinate their behaviors. In this paper the concept “Shared Belief Map” is proposed ...
Notions of fairness have recently received increased attention in the context of resource allocation problems, pushed by diverse applications where not only pure utilitarian effic...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...