Recently, a number of frameworks were proposed to extend interface theory to the domains of single-processor and distributed real-time systems. This paper unifies some of these ap...
Lothar Thiele, Ernesto Wandeler, Nikolay Stoimenov
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
As the complexity and application scope of agent-based systems increases, the requirements placed on Agent Communication Languages have also increased with it. Currently-available...
This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware E...
Abstract. Large information spaces and complex functionality of contemporary systems together with the advent of the Semantic Web are big challenges for the design of simple yet po...