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Research areas in Computer Science

Artificial Intelligence

(research group led by Prof. Nicola Leone).

The Artificial Intelligence group is chaired by Nicola Leone, full professor in Computer Science. It is composed of 3 associate professors, each of them sub-chairing the activities of the group within a specific area of interest, of 5 assistant professors, and of about 10 post doc and phd students. In fact, it is the largest group in the Department. Members of the group have received prestigious international awards, such as the PODS Test-Of-Time Award and the IJCAI-JAIR best paper award.

The areas of interest of the Artificial Intelligence group are the following ones:

Artificial Intelligence and Knowledge Representation

(area chaired by Prof. Giovambattista Ianni)

The development of automated reasoning modules embedded within heterogenous software systems, mobile and traditional devices is nowadays a necessity. Also, in this context, it is important to strive for the best performance, and achieve a satisfactory management of knowledge sources with different semantics. In this respect the group investigates toward the usage and the extension of Answer Set Programming (ASP) in the following respects:

Advanced Data and Knowledge Management

(area chaired by Prof. Giorgio Terracina)

A mounting wave of data-intensive and knowledge-based applications such as Data Mining, Data Warehousing, and Online Analytical Processing has created a strong demand for powerful languages and systems. In the literature, research efforts focused both on improving classical database systems and on providing advanced data and knowledge management features. The activities of the group in the latter field mainly focused on the study of models and evaluation paradigms supporting effective reasoning tasks. Current research interests include:

Intelligent Agents

(area chaired by Prof. Gianluigi Greco)

Several concepts and methods of Game Theory and Economics have recently found application in modeling the strategic interactions that occur in systems of intelligent agents, both in non-cooperative contexts (where agents pursue their own individual goals) and in cooperative contexts (where they jointly pursue some common goal). The activities of the group in this field are mainly focused on the study of such models from the computational and the algorithmic viewpoints. Current research interests include: