Multi-agent systems allow the simulation of complex phenomena that cannot easily be described analytically. Multi-agent approaches are often based on coordinating agents whose act...
Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new str...
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
Elaborating on the first stage in the User-Centered Design (UCD) process, understanding the user, this study questions whether it is sufficient to look at the use of interactive s...
Research shows that people from different cultural backgrounds and gender roles behave and communicate in systematically different ways. The current research utilized a survey (N=...