Software developers, designers and researchers have been looking to technology for solutions to help and educate people with autism for over two decades. There are many examples o...
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Computer agents participate in many collaborative and competitive multiagent domains in which humans make decisions. For computer agents to interact successfully with people in su...
We explored the association between users' social anxiety and the interactional fidelity of an agent (also referred to as a virtual human), specifically addressing whether th...
Sin-Hwa Kang, Jonathan Gratch, Ning Wang, James H....