As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
Many approaches of the agent paradigm emphasize the social and intentional features of their systems, what are called social properties. The study of these aspects demands their ow...
Abstract. Companies in today’s automotive industry are under immense competitive pressure to reduce the length of their product development cycle from initial concept to begin of...
Poorly designed software systems are difficult to understand and maintain. Modifying code in one place could lead to unwanted repercussions elsewhere due to high coupling. Adding ...
Martin Drozdz, Derrick G. Kourie, Bruce W. Watson,...
This paper advocates the application of multi-agent techniques in the realisation of social robotic behaviour. We present the Social Robot Architecture, which integrates the key e...
Gregory M. P. O'Hare, Brian R. Duffy, Rem W. Colli...