In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
This research proposes 3D graphical agents in the role of virtual presenters with a new type of functionality – the capability to process and respond to visual attention of users...
Arjen Hoekstra, Helmut Prendinger, Nikolaus Bee, D...
As the complexity of computing systems steadily increases, self-managing systems – as Autonomic Computing Systems (ACS) proposed by IBM – are an adequate approach to minimize ...
We have proposed a real-time multi-target tracking system by cooperative behaviors of Active Vision Agents (AVAs), where an AVA is a logical model of a networkconnected computer w...