Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ï¬...
Galia Angelova, Ognian Kalaydjiev, Albena Strupcha...
In this paper, we propose a framework for modelling agent organizations, Omni, that allows the balance of global organizational requirements with the autonomy of individual agents....
Abstract. We present a technique and a tool for model-checking operational UML models based on a mapping of object oriented UML models into a framework of communicating extended ti...
Abstract. The widespread availability of both fixed and wireless network connectivity and the growing market of portable devices are enabling anytime and anywhere impromptu collabo...
Dario Bottazzi, Antonio Corradi, Rebecca Montanari