DIPARTIMENTO   DI   INFORMATICA
Università di Torino

Research Report Year 1994

Artificial Intelligence

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Machine Learning

People

Lorenza Saitta

Full Professor

Attilio Giordana

Full Professor

Marco Botta

Researcher

Cristina Baroglio

Ph.D student

Daniele Gunetti

Ph.D student

Filippo Neri

Ph.D student

Research activity in 1994

During 1994, research of the Machine Learning group in Torino has been twofold. On the one hand, new learning techniques and strategies have been studied to face robotics problems. On the other hand, new learning methodologies have been embedded in learning systems developed in the previous years by the same group. In particular, some of the researchers have integrated a learning system with deep reasoning mechanisms, with a special care towards the examples used in the learning phase.

Other researchers studied the use of genetic algorithms as a tool to search a hypothesis space, in place of traditional mechanisms. In this way, results obtained in the previous years have been extended by enlarging the hypothesis space language and by implementing distributed genetic searching strategies.

A new line of research has been spotted to learn control functions in the robotics domain. In particular, the integration of symbolic and numeric methodologies are under investigation, in order to synthesize fuzzy controllers.

The above researches have been developed within national and international research projects, funded by the National Research Council (CNR) and by the Europeean Community. In particular the B-LEARN2 project, funded by the EC, Machine Learning techniques have been applied to advanced robotics problems, with very interesting results.

Results of the above activities have been published in the major journals and international conferences.

Another group, in connection with prof. Francesco Bergadano (University of Catania and Messina), has been involved in an emerging area at the intersection of Machine Learning and Logic Programming: Inductive Logic Programming (ILP), the induction of Logic Programs from positive and negative examples of their input output behavior. This field is becoming more and more important, and a specific ESPRIT project (funded by EC) is expecially devoted to it. The University of Torino is a main partner in this project, and participates in the the research with papers published in the main international journals and conferences, and with the development of learning systems specifically devoted to the synthesis of logic programs. In Torino, the research is particularly devoted to Software Engineering applications of ILP. ILP techniques have been used to assist and automatize software development, testing, maintenance and reuse. The group is also interested in applications to knowledge discovery in databases. The results of the research within ILP at the University of Torino will be published in a book by MIT press available in the second half of 1995.

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