This paper presents results from on-going investigations into the performance of the Michiganstyle classifier system in a complex multi-agent environment. Using a simplified model...
Discovering and studying emergent phenomena are among the most important activities in social research. Replicating this phenomenon in "the lab" using simulation is an i...
Previous work on spatio-temporal analysis of news items and other documents has largely focused on broad categorization of small text collections by region or country. A system fo...
Energy expenses are becoming an increasingly important fraction of data center operating costs. At the same time, the energy expense per unit of computation can vary significantl...
Asfandyar Qureshi, Rick Weber, Hari Balakrishnan, ...
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...