We present two models of hierarchical structured multi-agents, and we describe how to obtain a modal knowledge base from distributed sources. We then propose a computationally orie...
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
This paper introduces an adaptive architecture for presenting interactive timed media onto distributed networked devices. The interactive presentation is documented in StoryML, an...
In the modern world mobile robots are being utilized for many tasks that are either hazardous or unpleasant for human beings. The potential of robots to assume such tasks hinges o...
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...