For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...
We investigate the application of a logic-based framework representing an agent environment as a composite structure that evolves over time. Such a complex structure contains the i...
Nowadays it is widely accepted that ontologies, the key technology for the realization of the Semantic Web, are artefacts that are collaboratively and iteratively developed/evolved...
George A. Vouros, Konstantinos Kotis, Christos Cha...
The widespread use of XML brings new challenges for its integration into general software development processes. In particular, it is necessary to keep the consistency between diļ¬...
In recent years, the evolution of artiļ¬cial neural networks or neuroevolution has brought promising results in solving diļ¬cult reinforcement learning problems. But, like standa...