In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
We propose that the trust an agent places in another agent declaratively captures an architectural connector between the two agents. We formulate trust as a generic modality expre...
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose su...