Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
The Itacio component model intends to bring a method of verifying software systems made up of ts. This method can be applied at different levels of abstraction, and to different f...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
This paper explores current metaphors for visualizing agent-based models. Metaphors include grid, network, ndimensional cubes and landscape visualization techniques. A final secti...
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...