This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
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...
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...