Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
We describe an approach to building integrated performance support systems by using model-based task tracking to link performance support tools to video-based organizational memor...
Christopher R. Johnson, Lawrence Birnbaum, Ray Bar...
Recent findings have shown that humans can adapt their internal control model to account for the changing dynamics of systems they manipulate. In this paper, we explore the effect...
Ali Israr, Hakan Kapson, Volkan Patoglu, Marcia Ki...
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
To reduce the production cost of 3D-CG educational contents for e-Learning system and to improve the capability of self-learning system, we developed a new self-learning system ba...