ADSys project investigate the developing of Learning-Assisted Intelligent Scheduling Systems that uses active learning by accumulation and interpretation of scheduling experience or even by observation expert's decisions. It will be provided with the ability to increase/define its intelligence, and the user could be able to select the level or threshold of intelligence according business needs. The design of intelligent systems (IS) that learn with experts is a very hard and challenging domain because current systems are becoming more and more complex and subject to rapidly changing.

ADSyS motivation arise from the necessity of developing approaches that should be able to adaptively control, coordinate and optimize addressing the several challenges presented on complex real-world problems (RWP). By using advanced algorithms, modelling and services we intend that decisor make the right decision when and where it is crucial to the business.

We believe that the next generation of DSS will rely on cooperative intelligent Multi-Agent Systems(MAS) for playing a fundamental role in actively searching and finding relevant information on behalf of their users in complex and open environments, such as the Web.

The budget of this project is € 90.000,00.