In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Intelligent Tutoring Systems, while effective at producing student learning [2,7], are notoriously costly to construct [1,9], and require PhD level experience in cognitive science...
Neil T. Heffernan, Terrence E. Turner, Abraao L. N...
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...
People come to online communities seeking information, encouragement, and conversation. When a community responds, participants benefit and become more committed. Yet interactions...
Jaime Arguello, Brian S. Butler, Elisabeth Joyce, ...
This paper describes an extensive analysis of the comfort level data of 7 subjects with respect to 12 robot behaviours as part of a human-robot interaction trial. This includes ro...
Kheng Lee Koay, Kerstin Dautenhahn, Sarah Woods, M...