In this paper, we extend the classical BDI architecture for the treatment of social commitments based communication by: (1) linking social commitments and individual intentions, (2...
Abstract. How and where are the universal features of language specified? We consider language users as situated agents acting as conduits for the cultural transmission of language...
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...