Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
A number of existing compiler techniques hinge on the analysis of array accesses in the program. The most important task in array access analysis is to collect the information abo...
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
Ulrich Furbach, Jan Murray, Falk Schmidsberger, Fr...
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
Many sources of empirical data can be used to evaluate an interface (e.g., time to learn, time to perform benchmark tasks, number of errors on benchmark tasks, answers on question...