As users store and share more digital content at home, access control becomes increasingly important. One promising approach for helping non-expert users create accurate access po...
Michelle L. Mazurek, Peter F. Klemperer, Richard S...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...