E-government in South Africa has a particularly important historical and social context due to the legacy of apartheid. As a result, a ten year egovernment implementation horizon h...
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
We introduce the study of live social insect colonies as a relevant and exciting domain for the development and application of multi-agent systems modeling tools. Social insects p...
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...