This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
Though adjustable autonomy is hardly a new topic in agent systems, there has been a general lack of consensus on terminology and basic concepts. In this paper, we describe the mul...
Jeffrey M. Bradshaw, Hyuckchul Jung, Shriniwas Kul...
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Threat modeling analyzes how an adversary might attack a system by supplying it with malicious data or interacting with it. The analysis uses a Data Flow Diagram (DFD) to describe...
1 Robust behavior in complex, dynamic environments mandates that intelligent agents autonomously monitor their own run-time behavior, detect and diagnose failures, and attempt reco...